Triple
T22599186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dola Re Dola |
E574765
|
entity |
| Predicate | productionCompanyOfFilm |
P14415
|
FINISHED |
| Object | SLB Films |
—
|
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: SLB Films | Statement: [Dola Re Dola, productionCompanyOfFilm, SLB Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SLB Films Context triple: [Dola Re Dola, productionCompanyOfFilm, SLB Films]
-
A.
SLB Films
chosen
SLB Films is an Indian film production company founded by acclaimed filmmaker Sanjay Leela Bhansali, known for producing visually opulent and emotionally intense Hindi films.
-
B.
S. L. Productions
S. L. Productions is a film production company best known for producing the 1971 coming-of-age drama "Summer of '42."
-
C.
Cinelou Films
Cinelou Films is an independent American film production company known for producing character-driven dramas such as the 2014 film "Cake."
-
D.
See-Saw Films
See-Saw Films is a British-Australian film and television production company known for acclaimed works such as the Academy Award–winning drama "The King’s Speech."
-
E.
Scion Films
Scion Films is a British film production company known for backing acclaimed dramas such as "The Constant Gardener."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245bc11308190b69d794d5d1e0bb6 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1626b5f5481909a104088d1c96720 |
completed | April 29, 2026, 1:44 a.m. |
Created at: April 17, 2026, 2:50 p.m.