Triple
T23436229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Worst of Evil |
E563467
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Sanai Pictures |
—
|
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: Sanai Pictures | Statement: [The Worst of Evil, productionCompany, Sanai Pictures]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sanai Pictures Context triple: [The Worst of Evil, productionCompany, Sanai Pictures]
-
A.
Sanai Pictures
chosen
Sanai Pictures is a film production company known for its involvement in producing the movie "New World."
-
B.
Saaransh Films
Saaransh Films is an Indian film production company known for backing Hindi-language movies such as the 1989 drama "Daddy."
-
C.
R. K. Films
R. K. Films is an Indian film production company founded by legendary actor-filmmaker Raj Kapoor, known for producing several classic Hindi movies.
-
D.
Junglee Pictures
Junglee Pictures is an Indian film production and distribution company known for backing critically acclaimed and commercially successful Hindi films.
-
E.
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.
- 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_69e24553980c8190bb66a2ae0bdab125 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a5dbdf248190a09e971f2718d01f |
completed | April 29, 2026, 6:31 a.m. |
Created at: April 17, 2026, 5:50 p.m.