Triple
T7660198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhojpuri cinema |
E173484
|
entity |
| Predicate | typicalGenres |
P55821
|
FINISHED |
| Object | family drama |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: family drama | Statement: [Bhojpuri cinema, typicalGenres, family drama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalGenres Context triple: [Bhojpuri cinema, typicalGenres, family drama]
-
A.
typicalGenresIncluded
chosen
Indicates that certain genres are commonly or characteristically included as part of another entity’s usual set of genres.
-
B.
commonGenre
Indicates that two entities share at least one genre in common.
-
C.
typicalVariety
Indicates that one entity is a representative or characteristic example of the variety or type defined by another entity.
-
D.
genreFeatures
Indicates that a particular genre is characterized or defined by certain features or attributes.
-
E.
genreWithin
Indicates that one genre is a subgenre or more specific category contained within another, broader genre.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c69955517c819085bc715b96d304d2 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7061cbc3c8190a917dd7e71214182 |
completed | March 27, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69c7015dd8fc8190bc5f52a12bd46209 |
completed | March 27, 2026, 10:14 p.m. |
Created at: March 27, 2026, 3:59 p.m.