Triple
T26150109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabbar Singh |
E659790
|
entity |
| Predicate | villainPlayedBy |
P49327
|
FINISHED |
| Object | Abhimanyu Singh |
—
|
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: Abhimanyu Singh | Statement: [Gabbar Singh, villainPlayedBy, Abhimanyu Singh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: villainPlayedBy Context triple: [Gabbar Singh, villainPlayedBy, Abhimanyu Singh]
-
A.
mainAntagonistPortrayedBy
Indicates that the person is the primary actor who plays the main antagonist character in a work.
-
B.
antagonistActorRole
Indicates that an actor plays the role of an antagonist in a given work or context.
-
C.
featuresVillainActor
chosen
Indicates that the subject includes or presents an actor in the role of a villain.
-
D.
playedBy
Indicates that a role, character, or performance is portrayed or executed by a specific person or agent.
-
E.
focusesOnVillain
Indicates that the primary attention, narrative emphasis, or activity is directed toward a villain as the central subject.
- 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_69ee5bc496a88190af7deb7ab5e081de |
completed | April 26, 2026, 6:39 p.m. |
| NER | Named-entity recognition | batch_69f60c0a164c819098ef0266d84c3bdf |
completed | May 2, 2026, 2:36 p.m. |
| PD | Predicate disambiguation | batch_69f5b0021da88190bdd4cf2698c23edf |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 8:24 p.m.