Triple
T20620962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Day After |
E506695
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Robert Papazian |
—
|
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: Robert Papazian | Statement: [The Day After, producer, Robert Papazian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Papazian Context triple: [The Day After, producer, Robert Papazian]
-
A.
Robert Papazian
chosen
Robert Papazian is an American film and television producer known for his work on projects such as the 1973 blaxploitation film "Coffy."
-
B.
Shawn Papazian
Shawn Papazian is a film producer known for his work on independent and genre movies, including the action drama "Mercury Plains."
-
C.
John Civello
John Civello, also known by the nickname "Johnny Boy," is an individual primarily recognized in this context by his informal moniker rather than widely documented public achievements.
-
D.
Michael Gunton
Michael Gunton is a British television producer best known for his work on major BBC natural history series such as Planet Earth II and Dynasties.
-
E.
Don Procopio
Don Procopio is a comic opera by Georges Bizet, notable for its lighthearted plot and early display of the composer's melodic talent.
- 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_69e0b4bc90988190ac360aaf645efc1d |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abe19ca481908c896bec49a025cd |
completed | April 20, 2026, 10:42 p.m. |
Created at: April 16, 2026, 11:42 a.m.