Triple
T27279258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Himanshu Rai |
E688284
|
entity |
| Predicate | roleAtBombayTalkies |
P120250
|
FINISHED |
| Object | producer |
—
|
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: producer | Statement: [Himanshu Rai, roleAtBombayTalkies, producer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtBombayTalkies Context triple: [Himanshu Rai, roleAtBombayTalkies, producer]
-
A.
entertainmentRole
chosen
Indicates that an entity holds a specific function or position within an entertainment context (such as a role in a performance, production, or media work).
-
B.
roleInCinerama
Indicates that an entity has a role or participation in a Cinerama film or production.
-
C.
bengaliFilmDebut
Indicates the film in which a person first appeared or debuted in Bengali cinema.
-
D.
directorOfWorkFeaturingSubject
Indicates that the subject is the director of a creative work in which another specified entity appears or is featured.
-
E.
madeFamousByFilm
Indicates that something became widely known or gained significant public recognition as a result of being featured in a film.
- 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_69ef3558cf8881909595ef89daf6e14a |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c1f94ac8190bc6fbc7916fc0d82 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 27, 2026, 11:05 a.m.