Triple
T29299254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaakha Kaakha |
E742915
|
entity |
| Predicate | starredInBreakthroughRoleFor |
P42600
|
FINISHED |
| Object | Suriya |
—
|
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: Suriya | Statement: [Kaakha Kaakha, starredInBreakthroughRoleFor, Suriya]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starredInBreakthroughRoleFor Context triple: [Kaakha Kaakha, starredInBreakthroughRoleFor, Suriya]
-
A.
hasBreakthroughRoleFor
Indicates that an entity serves as a major, career-defining or pivotal role for another entity, marking a significant breakthrough or turning point.
-
B.
screenDebutInMajorRoleFor
Indicates that one entity made their first significant on-screen appearance (major role) in a particular production or work.
-
C.
leadActorBreakthrough
chosen
Indicates that the actor had a breakthrough or career-defining leading role in the referenced work or context.
-
D.
replacesInLeadRole
Indicates that one entity takes over or substitutes for another entity in the primary or leading role within a given context or production.
-
E.
playedEarlyRoleIn
Indicates that one entity contributed significantly to the initial or formative stages of another entity’s development, success, or emergence.
- 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_69f09123ed9881909f351f7541933f5e |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f665a1a7148190ae6060514d16ffec |
completed | May 2, 2026, 8:59 p.m. |
| PD | Predicate disambiguation | batch_69f660f2e3708190ab658652bcfc04d0 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 1:09 p.m.