Triple
T25234814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Janatha Garage |
E632307
|
entity |
| Predicate | mainVillainActor |
P113106
|
FINISHED |
| Object | Sachin Khedekar |
—
|
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: Sachin Khedekar | Statement: [Janatha Garage, mainVillainActor, Sachin Khedekar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainVillainActor Context triple: [Janatha Garage, mainVillainActor, Sachin Khedekar]
-
A.
mainAntagonistPortrayedBy
chosen
Indicates that the person is the primary actor who plays the main antagonist character in a work.
-
B.
featuresVillainActor
Indicates that the subject includes or presents an actor in the role of a villain.
-
C.
antagonistActorRole
Indicates that an actor plays the role of an antagonist in a given work or context.
-
D.
villainRank1Film
Indicates that the subject is the top-ranked or primary villain in the referenced film.
-
E.
majorActor
Indicates that the subject is a primary or leading participant in the action, event, or production involving the object.
- 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_69e75a8ec5f88190b9eba06ae42b413a |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f47df84cf0819089ea6c07d67b9f01 |
completed | May 1, 2026, 10:18 a.m. |
| PD | Predicate disambiguation | batch_69f44d849e7c81909945438f40e35362 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 21, 2026, 1:06 p.m.