Triple
T15339095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zoolander 2 |
E366742
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Red Hour Films |
E349895
|
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: Red Hour Films | Statement: [Zoolander 2, productionCompany, Red Hour Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Hour Films Context triple: [Zoolander 2, productionCompany, Red Hour Films]
-
A.
Red Hour Productions
chosen
Red Hour Productions is a film and television production company founded by Ben Stiller, known for producing satirical and offbeat comedies.
-
B.
Radian Films
Radian Films is a film production company known for producing the documentary feature "Lenny Cooke," which chronicles the rise and fall of a once-promising high school basketball star.
-
C.
Greenpoint Films
Greenpoint Films is a film production company best known for producing the acclaimed period drama "Enchanted April."
-
D.
Octagon Films
Octagon Films is an Irish film and television production company known for working on international projects such as the historical fantasy series "Camelot."
-
E.
Cinelou Films
Cinelou Films is an independent American film production company known for producing character-driven dramas such as the 2014 film "Cake."
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e12eb7c8190944a260aa1aa9156 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01f2ee9c819080fce24ed13a07c7 |
completed | May 9, 2026, 9:44 a.m. |
Created at: April 10, 2026, 3:17 a.m.