Triple
T22976928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Passengers (2016 film) |
E571347
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Company Films |
—
|
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: Company Films | Statement: [Passengers (2016 film), producer, Company Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Company Films Context triple: [Passengers (2016 film), producer, Company Films]
-
A.
Company Films
chosen
Company Films is a film production company known for producing the science fiction drama movie "Passengers."
-
B.
Division Films
Division Films is an independent film production company best known for producing the 2012 crime drama "Spring Breakers."
-
C.
Company Productions
Company Productions is a film production company best known for producing the acclaimed Tamil movie "Subramaniapuram."
-
D.
Destination Films
Destination Films is an American film production company known for producing and distributing genre and family-oriented movies.
-
E.
XYZ Films
XYZ Films is a film production company known for producing the dark comedy-thriller "I Don’t Feel at Home in This World Anymore."
- 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_69e245b3c50481908bb3741ec9f40862 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182369b548190a6630655a6e0bb39 |
completed | April 29, 2026, 3:59 a.m. |
Created at: April 17, 2026, 3:48 p.m.