Triple
T21428569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rajesh Khanna |
E528623
|
entity |
| Predicate | numberOfBFJABestActorAwards |
P92746
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Rajesh Khanna, numberOfBFJABestActorAwards, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfBFJABestActorAwards Context triple: [Rajesh Khanna, numberOfBFJABestActorAwards, 4]
-
A.
bestActorWinner
Indicates that the subject is the recipient of a "Best Actor" award for a particular performance or event.
-
B.
filmfareAwardsWon
chosen
Indicates that the subject has received one or more Filmfare Awards, specifying the number or instances of such wins.
-
C.
bestActorMotionPictureMusicalOrComedyWork
Indicates that an entity received the Best Actor in a Motion Picture – Musical or Comedy award for a specific work.
-
D.
filmfareAward
Indicates that an entity has received or is associated with a Filmfare Award, representing a specific award recognition in film.
-
E.
academyAwardWinningPerformances
Indicates that the performances in question have won an Academy Award (Oscar) for acting.
- 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_69e0c455f3688190810bc96365791b0f |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b3e74bcc81909ad66e3c59152ffc |
completed | April 22, 2026, 11:41 a.m. |
| PD | Predicate disambiguation | batch_69e61639ee288190889ffd500d1260f6 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 16, 2026, 5:49 p.m.