Triple
T14508810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Two Films |
E340339
|
entity |
| Predicate | coProducedWith |
P7732
|
FINISHED |
| Object | One Two Films US |
E340339
|
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: One Two Films US | Statement: [One Two Films, coProducedWith, One Two Films US]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: One Two Films US Context triple: [One Two Films, coProducedWith, One Two Films US]
-
A.
One Two Films
chosen
One Two Films is a film production company known for producing independent and arthouse cinema, including the critically acclaimed drama "The Tale."
-
B.
Four By Two Films
Four By Two Films is a British film and television production company co-founded by comedian Sacha Baron Cohen, known for producing his comedy projects.
-
C.
Two Ton Films
Two Ton Films is a film production company best known for producing the ensemble romantic comedy "The Big Wedding."
-
D.
Beyond Films
Beyond Films is an Australian film distribution and production company known for handling a range of independent and international titles.
-
E.
Double Feature Films
Double Feature Films is a film production company known for backing high-profile feature films, including Quentin Tarantino 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de94e40e44819084f323f8f9982b75 |
completed | April 14, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6da26a308190bf86ed1edbe8d57e |
completed | May 8, 2026, 4:59 a.m. |
Created at: April 10, 2026, 1:21 a.m.