Triple
T21662530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bobby (1973 film) |
E534627
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | R. K. 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: R. K. Films | Statement: [Bobby (1973 film), productionCompany, R. K. Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: R. K. Films Context triple: [Bobby (1973 film), productionCompany, R. K. Films]
-
A.
R. K. Films
chosen
R. K. Films is an Indian film production company founded by legendary actor-filmmaker Raj Kapoor, known for producing several classic Hindi movies.
-
B.
Raaj Kamal Films International
Raaj Kamal Films International is an Indian film production company founded by actor-filmmaker Kamal Haasan, known for producing numerous acclaimed Tamil-language movies.
-
C.
Muktha Films
Muktha Films is an Indian film production company best known for producing acclaimed Tamil cinema, including the classic crime drama "Nayakan."
-
D.
Mohan Films
Mohan Films is an Indian film distribution company known for handling the release of various Hindi movies.
-
E.
Mohan Productions
Mohan Productions is a television production company best known for producing the NBC family sitcom "Lopez vs Lopez."
- 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_69e0c467e1f48190af2650b19175abc4 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef6c0956e0819093b4794418efe052 |
completed | April 27, 2026, 2 p.m. |
Created at: April 16, 2026, 6:36 p.m.