Triple
T25296708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khaidi No. 150 |
E634234
|
entity |
| Predicate | leadActorComebackFilm |
P158443
|
FINISHED |
| Object | Chiranjeevi |
—
|
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: Chiranjeevi | Statement: [Khaidi No. 150, leadActorComebackFilm, Chiranjeevi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadActorComebackFilm Context triple: [Khaidi No. 150, leadActorComebackFilm, Chiranjeevi]
-
A.
directorComeback
Indicates that a director has returned to active work or prominence in their field after a period of absence, decline, or reduced activity.
-
B.
leadActorUntilDeath
Indicates that an individual served as the lead actor in a production or series continuously up until their death.
-
C.
leadActorDebutFilmFor
Indicates that a person’s first film as a lead actor is the specified movie.
-
D.
leadActorBreakthrough
Indicates that the actor had a breakthrough or career-defining leading role in the referenced work or context.
-
E.
remakeOfFilmStarring
Indicates that one film is a remake of another film in which a specified actor or set of actors starred.
- 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_69e75a9503d48190b80a005c6af0cb50 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f48fd2e5ec8190965046138f838057 |
completed | May 1, 2026, 11:34 a.m. |
| PD | Predicate disambiguation | batch_69f4683472ec8190a483b3b8afe71720 |
completed | May 1, 2026, 8:45 a.m. |
| PDg | Predicate description generation | batch_69f46d361c348190b5fdfd805ecde01b |
completed | May 1, 2026, 9:07 a.m. |
Created at: April 21, 2026, 1:22 p.m.