Triple
T19543712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crime of Passion |
E488978
|
entity |
| Predicate | producedBy |
P490
|
FINISHED |
| Object | Fury Productions |
—
|
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: Fury Productions | Statement: [Crime of Passion, producedBy, Fury Productions]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fury Productions Context triple: [Crime of Passion, producedBy, Fury Productions]
-
A.
Fury Productions
chosen
Fury Productions is a film and television production company known for producing the crime drama "Crime of Passion."
-
B.
Furious Films
Furious Films is a film production company best known for its involvement in genre and science fiction cinema, including work on the movie "Species II."
-
C.
Ardent Productions
Ardent Productions is a British television and film production company founded and run by Prince Edward, Earl of Wessex.
-
D.
Javelin Productions
Javelin Productions is a film and television production company best known for its involvement in creating the science fiction drama series "Sense8."
-
E.
Outlaw Productions
Outlaw Productions is a film and television production company known for producing a range of Hollywood genre movies and commercial features.
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e638750b288190aecdb0e18a1add62 |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 10, 2026, 1:41 p.m.