Using auto-suggest with inverted names

I am trying to get an auto-suggest to work with a large list of inverted
names using the most recent auto-suggest implementation (the one that uses
Lucene FST):

I have gotten it to work in general but it seems to have trouble with
inverted names such as "Gettyburg, battle of". I get hits for "G", "Get"...
but if I start typing "battle of..." I get no results. Below is the
auto-suggest mapping that I am using as well as a document sample that I am


"settings": {
"number_of_shards": 1
"mappings": {
"person": {
"_source": {
"enabled": true
"name": {
"type": "string",
"index_name": "name",
"index": "analyzed"
"suggest" : { "type" : "completion",
"index_analyzer" : "standard",
"search_analyzer" : "standard",
"preserve_position_increments": false,
"preserve_separators": false,
"payloads" : true,
"context": {
"type":{ "type": "category", "path": "_type"}}

Indexed Document:

"id": "1",
"name": "Gettysburg, battle of",
"suggest": {
"input": [
"Gettysburg, battle of"
"output": "Gettysburg, battle of",
"payload": {
"id": "1"

I think the problem has to do with the index and search analyzer but I have
tried a variety of types/combinations and can not get it to work. The only
option that I have gotten to work is to use a script to pre-process the
data and look for inverted names. Basically it looks for strings like
"Gettysburg, battle of" tests to see if there is a "," and if so, split on
the comma and print out both the first part and second part as additional
"input" values (In this case "Gettysburg" and "battle of" would be input
string in addition to "Gettysburg, battle of"). This seemed very wasteful
and unnecessary.

Any help or suggestions would be appreciated.



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