Triple
T10583443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Before the Devil Knows You're Dead |
E249792
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Michael Cerenzie |
E218037
|
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: Michael Cerenzie | Statement: [Before the Devil Knows You're Dead, producer, Michael Cerenzie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Cerenzie Context triple: [Before the Devil Knows You're Dead, producer, Michael Cerenzie]
-
A.
Michael Cerenzie
chosen
Michael Cerenzie is a film producer known for his work on independent and genre films in Hollywood.
-
B.
Daniel Caltagirone
Daniel Caltagirone is a British actor known for his work in film and television, including roles in projects such as "The Beach," "The Pianist," and various UK dramas.
-
C.
John Zaccaro
John Zaccaro is an American real estate developer best known as the husband of the late U.S. Congresswoman and 1984 vice-presidential nominee Geraldine Ferraro.
-
D.
Mark Ceryak
Mark Ceryak is a film and television producer best known for his work on the acclaimed series "The Underground Railroad."
-
E.
Michael Calfan
Michael Calfan is a French DJ and record producer known for his melodic house tracks and uplifting, radio-friendly dance music.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d52767d2e0819099511e29e254bc34 |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de222baab081908e2e2b18f656dedb |
completed | April 14, 2026, 11:16 a.m. |
Created at: April 6, 2026, 12:39 p.m.