Triple
T29558163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amarkalam |
E749962
|
entity |
| Predicate | leadActorBreakthroughFor |
P134231
|
FINISHED |
| Object | Ajith Kumar |
—
|
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: Ajith Kumar | Statement: [Amarkalam, leadActorBreakthroughFor, Ajith Kumar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadActorBreakthroughFor Context triple: [Amarkalam, leadActorBreakthroughFor, Ajith Kumar]
-
A.
leadActorBreakthrough
Indicates that the actor had a breakthrough or career-defining leading role in the referenced work or context.
-
B.
hasBreakthroughRoleFor
chosen
Indicates that an entity serves as a major, career-defining or pivotal role for another entity, marking a significant breakthrough or turning point.
-
C.
leadActorDebutFilmFor
Indicates that a person’s first film as a lead actor is the specified movie.
-
D.
leadRoleActor
Indicates that an actor performs a leading or principal role in a work or production.
-
E.
leadActorOfWinningFilm
Indicates that a person is the lead actor in a film that has won a specified award or competition.
- 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_69f0bd4919e48190942b2a13d5b97d03 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f6c49627908190b3553474c7c3072b |
completed | May 3, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
Created at: April 28, 2026, 5:18 p.m.