Triple
T33452339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Janardhan Jakhar |
E856677
|
entity |
| Predicate | appearsInFilmIndustry |
P117908
|
FINISHED |
| Object | Bollywood |
—
|
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: Bollywood | Statement: [Janardhan Jakhar, appearsInFilmIndustry, Bollywood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInFilmIndustry Context triple: [Janardhan Jakhar, appearsInFilmIndustry, Bollywood]
-
A.
hasFilmCareer
chosen
Indicates that an entity has been professionally involved in the film industry as a career.
-
B.
occupationInFilm
Indicates that an entity has a specific occupation or role within the context of a particular film.
-
C.
featuredInFilmBy
Indicates that an entity is prominently included or showcased within a film that is created, directed, or produced by a specified person or organization.
-
D.
originatesInFilmIndustry
Indicates that something has its source, development, or primary origin within the film industry.
-
E.
studioOfFilmAppearance
Indicates that a studio is the production or distribution company associated with a particular film appearance.
- 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_69f3497281a08190b4705de0b5f26ba7 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd864235b481908738dbb69556bc62 |
completed | May 8, 2026, 6:44 a.m. |
| PD | Predicate disambiguation | batch_69fd8373b6bc819091c554f29ee17fec |
completed | May 8, 2026, 6:32 a.m. |
Created at: May 1, 2026, 1:37 a.m.