FVH highlights the smallest matching token

Settings:
{
"settings": {
"analysis": {
"analyzer": {
"idx_analyzer_ngram": {
"type": "custom",
"filter": [
"lowercase",
"asciifolding",
"edgengram_filter_1_32"
],
"tokenizer": "ngram_alltokenchar_tokenizer_1_32"
},
"ngrm_srch_analyzer": {
"filter": [
"lowercase"
],
"type": "custom",
"tokenizer": "keyword"
}
},
"tokenizer": {
"ngram_alltokenchar_tokenizer_1_32": {
"token_chars": [
"letter",
"whitespace",
"punctuation",
"symbol",
"digit"
],
"min_gram": "1",
"type": "nGram",
"max_gram": "32"
}
}
}
}
}

Mappings:
{
"properties": {
"TITLE": {
"type": "string",
"fields": {
"untouched": {
"index": "not_analyzed",
"type": "string"
},
"ngramanalyzed": {
"search_analyzer": "ngrm_srch_analyzer",
"index_analyzer": "idx_analyzer_ngram",
"type": "string",
"term_vector": "with_positions_offsets"
}
}
}
}
}

Query:
{
"query": {
"filtered": {
"query": {
"query_string": {
"query": "have some ha",
"fields": [
"TITLE.ngramanalyzed"
],
"default_operator": "and"
}
}
}
},
"highlight": {
"fields": {
"TITLE.ngramanalyzed": {}
}
}
}

I have document indexed with TITLE have some happy meal. When I search have some, I am able to get proper highlights.
have some happy meal

As i type more have some ha, the highlight results are not as expected.
have some happy meal

The have word gets partially highlighted.

I would expect it to highlight the longest matching token, because with an ngrams with min size = 1, this gives me a highlight of 1 or more char while there should be another matching token of 4 or 5 chars (for example: have should also be highlighted along with ha being highlighted)