Triple
T36928456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betaab |
E913414
|
entity |
| Predicate | leadActressDebutFilm |
P191401
|
FINISHED |
| Object | Amrita Singh |
—
|
NE NERFINISHED |
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: Amrita Singh | Statement: [Betaab, leadActressDebutFilm, Amrita Singh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadActressDebutFilm Context triple: [Betaab, leadActressDebutFilm, Amrita Singh]
-
A.
leadActorDebutFilmFor
Indicates that a person’s first film as a lead actor is the specified movie.
-
B.
debutAsLeadActressYear
Indicates the year in which an entity first made her debut as a lead actress.
-
C.
leadActressDebutInHindi
Indicates that an individual made her first appearance as a lead actress in a Hindi-language production.
-
D.
featureFilmDebut
Indicates that a work marks an entity’s first appearance or role in a feature-length film.
-
E.
filmDebutAsChildArtist
Indicates that a person made their first appearance in a film while working in the capacity of a child artist.
- F. None of above. chosen
Provenance (4 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_69f76e896c988190880c130e01303dd4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcdf2394748190b35cead3e208447d |
completed | May 7, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe344ec8190a0471911952f4b82 |
completed | May 7, 2026, 6:37 p.m. |
| PDg | Predicate description generation | batch_69fcdf22ab8881908b257f16522920c5 |
completed | May 7, 2026, 6:51 p.m. |
Created at: May 3, 2026, 4:13 p.m.