Triple
T11203181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bend It Like Beckham |
E265091
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Kintop Pictures |
E865444
|
NE FINISHED |
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: Kintop Pictures | Statement: [Bend It Like Beckham, productionCompany, Kintop Pictures]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kintop Pictures Context triple: [Bend It Like Beckham, productionCompany, Kintop Pictures]
-
A.
Kintop Pictures
chosen
Kintop Pictures is a film production company known for backing the cross-cultural romantic musical comedy "Bride and Prejudice."
-
B.
Konrad Pictures
Konrad Pictures is a film production company known for working on the romantic fantasy movie "Kate & Leopold."
-
C.
Kasdan Pictures
Kasdan Pictures is a film production company best known for producing the 1992 romantic thriller "The Bodyguard" starring Whitney Houston and Kevin Costner.
-
D.
Kasdan Pictures
Kasdan Pictures is a film production company associated with writer-director Lawrence Kasdan, known for producing character-driven dramas and comedies.
-
E.
Ternion Pictures
Ternion Pictures is a film production company involved in developing and producing motion picture projects.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8d355c481908fc3d555b596314d |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4972bfbd481908cd0da59389ae17c |
completed | April 19, 2026, 8:49 a.m. |
Created at: April 8, 2026, 9:29 p.m.