Triple
T29558847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 16 Vayathinile |
E749979
|
entity |
| Predicate | leadActressBreakthroughFor |
P134231
|
FINISHED |
| Object | Sridevi in Tamil cinema |
—
|
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: Sridevi in Tamil cinema | Statement: [16 Vayathinile, leadActressBreakthroughFor, Sridevi in Tamil cinema]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadActressBreakthroughFor Context triple: [16 Vayathinile, leadActressBreakthroughFor, Sridevi in Tamil cinema]
-
A.
leadActorBreakthrough
Indicates that the actor had a breakthrough or career-defining leading role in the referenced work or context.
-
B.
leadActress
Indicates that the subject is the primary female performer in the specified film, show, or production.
-
C.
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.
-
D.
leadActressCharacterName
Indicates the name of the character portrayed by the lead actress in a given work.
-
E.
leadingActressNominee
Indicates that a person has been nominated for an award in the leading actress category for a particular work or performance.
- 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_69f6d6a6b04c8190bee4cf9c00665ef7 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d26ceb08819091c71c001e954936 |
completed | May 3, 2026, 4:43 a.m. |
Created at: April 28, 2026, 5:18 p.m.