Triple
T33202025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mukkabla |
E849925
|
entity |
| Predicate | starredActorInFilm |
P5563
|
FINISHED |
| Object | Prabhu Deva |
—
|
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: Prabhu Deva | Statement: [Mukkabla, starredActorInFilm, Prabhu Deva]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starredActorInFilm Context triple: [Mukkabla, starredActorInFilm, Prabhu Deva]
-
A.
starredActorWith
Indicates that one entity participated as an actor in a production together with another specified actor.
-
B.
starredActor
chosen
Indicates that an actor performed a leading or significant role in a particular production or work.
-
C.
associatedWithLeadActorOfFilm
Indicates a relationship where one entity is connected or linked in some relevant way to the lead actor of a specified film.
-
D.
producedFilmStarring
Indicates that a person or company produced a film in which a specified actor or set of actors starred.
-
E.
featuredInFilmBy
Indicates that an entity is prominently included or showcased within a film that is created, directed, or produced by a specified person or organization.
- 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_69f3495efedc8190843a5728089544b9 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6dd3cc0648190a275812d6711275a |
completed | May 3, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69f6d82eaee081908f06a71546315aea |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:30 a.m.