Triple
T27166099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Om Shanti Om |
E682783
|
entity |
| Predicate | starsDebutPerformanceOf |
P47973
|
FINISHED |
| Object | Deepika Padukone |
—
|
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: Deepika Padukone | Statement: [Om Shanti Om, starsDebutPerformanceOf, Deepika Padukone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starsDebutPerformanceOf Context triple: [Om Shanti Om, starsDebutPerformanceOf, Deepika Padukone]
-
A.
leadActorDebutFilmFor
Indicates that a person’s first film as a lead actor is the specified movie.
-
B.
screenDebutInMajorRoleFor
chosen
Indicates that one entity made their first significant on-screen appearance (major role) in a particular production or work.
-
C.
filmDebutIn
Indicates the first film in which a person appeared or participated, marking their debut in cinema.
-
D.
filmDebutAsChildArtist
Indicates that a person made their first appearance in a film while working in the capacity of a child artist.
-
E.
featureFilmDebut
Indicates that a work marks an entity’s first appearance or role in a feature-length 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_69eefacf6e788190a75a64399d9e3109 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f6254313508190a1946b5c58f6dd3b |
completed | May 2, 2026, 4:24 p.m. |
| PD | Predicate disambiguation | batch_69f61b40f02081909bd9c3ea73249163 |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 9:21 a.m.