Triple
T17595593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Traitor (2019 film) |
E428560
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | IBC Movie |
—
|
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: IBC Movie | Statement: [The Traitor (2019 film), productionCompany, IBC Movie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IBC Movie Context triple: [The Traitor (2019 film), productionCompany, IBC Movie]
-
A.
IBC Movie
chosen
IBC Movie is a film production company known for backing the Italian crime drama "The Traitor."
-
B.
IMCINE
IMCINE is Mexico’s national film institute, responsible for promoting, supporting, and distributing Mexican cinema domestically and internationally.
-
C.
IPC Films
IPC Films was an American film production company best known for producing the hit 1980 workplace comedy "9 to 5."
-
D.
IPC Films
IPC Films was an American film production company best known for producing the acclaimed 1981 drama "On Golden Pond."
-
E.
Icon Film Distribution
Icon Film Distribution is a UK-based film distribution company known for releasing a range of independent, arthouse, and international films.
- 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e469ead59c8190a06519311891af3c |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 5:51 a.m.