Triple
T30362396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yennai Arindhaal |
E772322
|
entity |
| Predicate | actorForCharacterVictor |
P169117
|
FINISHED |
| Object | Arun Vijay |
—
|
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: Arun Vijay | Statement: [Yennai Arindhaal, actorForCharacterVictor, Arun Vijay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: actorForCharacterVictor Context triple: [Yennai Arindhaal, actorForCharacterVictor, Arun Vijay]
-
A.
mainActorForCharacter_CharlieCrews
Indicates that the referenced person is the primary actor who portrays the character Charlie Crews.
-
B.
actorForCharacterWardPhillips
Indicates that a given actor portrays or voices the character Ward Phillips.
-
C.
actorForCharacterEzra
Indicates that one entity is the actor who portrays or voices the character Ezra.
-
D.
victor
Indicates that one entity is the winner or has prevailed over another in a contest, conflict, or competition.
-
E.
antagonistActorRole
Indicates that an actor plays the role of an antagonist in a given work or context.
- F. None of above. chosen
Provenance (4 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_69f2248d71408190aec0d5c2001b1cff |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68243b5d8819092d8a0a1261f5fb2 |
completed | May 2, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69f678d019fc8190913662cd2f87b857 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f679496c188190ba585792f987a1f4 |
completed | May 2, 2026, 10:23 p.m. |
Created at: April 29, 2026, 7:58 p.m.