Triple
T26533478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muqaddar Ka Sikandar |
E670879
|
entity |
| Predicate | starredOpposite |
P160108
|
FINISHED |
| Object | Amitabh Bachchan – Rakhee Gulzar |
—
|
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: Amitabh Bachchan – Rakhee Gulzar | Statement: [Muqaddar Ka Sikandar, starredOpposite, Amitabh Bachchan – Rakhee Gulzar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starredOpposite Context triple: [Muqaddar Ka Sikandar, starredOpposite, Amitabh Bachchan – Rakhee Gulzar]
-
A.
starredActor
Indicates that an actor performed a leading or significant role in a particular production or work.
-
B.
performedInFilmOpposite
chosen
Indicates that two performers acted together in significant, often directly interacting roles in the same film.
-
C.
co-star
Indicates that two or more performers appear together in the same production, sharing significant acting roles.
-
D.
isNamedStarOf
Indicates that an entity is the officially designated or commonly recognized star of another entity (such as a show, film, or event).
-
E.
isPrimaryStarOf
Indicates that a star serves as the main or central stellar object in relation to a specified system, object, or context.
- 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_69eeb31ea1e08190b9ff43cf9bc25bf8 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c663be481908f233d25d28713a4 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 1:37 a.m.