Triple
T27526401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soha Ali Khan |
E694849
|
entity |
| Predicate | activeInCinema |
P169257
|
FINISHED |
| Object | Hindi cinema |
—
|
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: Hindi cinema | Statement: [Soha Ali Khan, activeInCinema, Hindi cinema]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: activeInCinema Context triple: [Soha Ali Khan, activeInCinema, Hindi cinema]
-
A.
cinemaStatus
Indicates the current operational or functional state of a cinema, such as whether it is open, closed, or otherwise restricted.
-
B.
cinemaOf
Indicates a relationship where a cinema is associated with, belongs to, or is located within a particular place, organization, or context.
-
C.
opensFilm
Indicates that one entity is the opening film of another entity, such as a festival, series, or program.
-
D.
latestFilm
Indicates that one entity is the most recently released film associated with another entity (such as a person, franchise, or studio).
-
E.
locatedInTheater
Indicates that something is situated within or inside a theater.
- 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_69ef538550208190aa9de8e2cb260d93 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f67d691a948190afa7fb19ae7d4ac5 |
completed | May 2, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f67c9ec1708190b26ccf402ed7b106 |
completed | May 2, 2026, 10:37 p.m. |
Created at: April 27, 2026, 1:24 p.m.