Triple
T26150169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kushi (2001 Telugu film) |
E659791
|
entity |
| Predicate | starMakingFilmFor |
P5563
|
FINISHED |
| Object | Bhumika Chawla |
—
|
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: Bhumika Chawla | Statement: [Kushi (2001 Telugu film), starMakingFilmFor, Bhumika Chawla]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starMakingFilmFor Context triple: [Kushi (2001 Telugu film), starMakingFilmFor, Bhumika Chawla]
-
A.
madeFamousByFilm
Indicates that something became widely known or gained significant public recognition as a result of being featured in a film.
-
B.
hasFilmCareer
Indicates that an entity has been professionally involved in the film industry as a career.
-
C.
hasMadeFilm
Indicates that a person or entity has created, directed, or otherwise produced a particular film.
-
D.
studioFilm
Indicates that a film is produced, distributed, or otherwise created by a particular studio.
-
E.
starredActor
chosen
Indicates that an actor performed a leading or significant role in a particular production or work.
- 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.