Triple
T36529128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Satyakam |
E900391
|
entity |
| Predicate | leadActorPerformanceNoted |
P29121
|
FINISHED |
| Object | Dharmendra |
—
|
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: Dharmendra | Statement: [Satyakam, leadActorPerformanceNoted, Dharmendra]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadActorPerformanceNoted Context triple: [Satyakam, leadActorPerformanceNoted, Dharmendra]
-
A.
leadActorPerformanceDescribedAs
Indicates that the performance of the lead actor in a work is characterized or described using a particular quality, opinion, or assessment.
-
B.
notablePrimaryPerformance
chosen
Indicates that an entity is recognized for a primary or leading performance in a work or event.
-
C.
leadRoleActor
Indicates that an actor performs a leading or principal role in a work or production.
-
D.
leadActorNicknameHolder
Indicates that the subject is the person who holds or uses the nickname associated with the lead actor.
-
E.
leadActorNominee
Indicates that an entity was nominated for a lead acting role in relation to a particular work or award.
- 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_69f76e5eedb88190a393b8c623f71dd7 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fccdd496048190bca801a8a9eecb62 |
completed | May 7, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:11 p.m.