Triple
T7631037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heaven & Earth |
E172758
|
entity |
| Predicate | editingBy |
P1954
|
FINISHED |
| Object | David Brenner |
E236325
|
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: David Brenner | Statement: [Heaven & Earth, editingBy, David Brenner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Brenner Context triple: [Heaven & Earth, editingBy, David Brenner]
-
A.
David Brenner
chosen
David Brenner was an American film editor known for his work on major Hollywood blockbusters, including several of director Zack Snyder’s films.
-
B.
Eric Brenner
Eric Brenner is a film producer known for his work on independent movies, including the action drama "Mercury Plains."
-
C.
Phil Bronstein
Phil Bronstein is an American journalist and editor best known for his long tenure at the San Francisco Chronicle and his marriage to actress Sharon Stone.
-
D.
Larry Brezner
Larry Brezner was an American film producer and talent manager known for producing popular comedies such as "Good Morning, Vietnam," "The 'Burbs," and "Ride Along."
-
E.
Len Blum
Len Blum is a Canadian screenwriter known for his work on numerous comedy films, including the 2006 reboot of The Pink Panther.
- 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_69c699517e348190bd3348b6889200f2 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa85c57c8190acfd33e0c890c2f9 |
completed | March 27, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89ab967108190bffea7676c44232b |
completed | March 29, 2026, 3:21 a.m. |
Created at: March 27, 2026, 3:56 p.m.