Triple
T22349271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercury Plains |
E552483
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Eric Brenner |
—
|
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: Eric Brenner | Statement: [Mercury Plains, producer, Eric Brenner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eric Brenner Context triple: [Mercury Plains, producer, Eric Brenner]
-
A.
Eric Brenner
chosen
Eric Brenner is a film producer known for his work on independent movies, including the action drama "Mercury Plains."
-
B.
Dave Brenner
Dave Brenner is a Canadian guitarist best known as a longtime member of the rock band Theory of a Deadman.
-
C.
David Brenner
David Brenner was an American film editor known for his work on major Hollywood blockbusters, including several of director Zack Snyder’s films.
-
D.
Sean Brenner
Sean Brenner is a character in the supernatural horror film "Insidious: Chapter 3," appearing as part of the story’s haunted family dynamic.
-
E.
Martin Brinkler
Martin Brinkler is a film editor known for his work on the shark thriller "47 Meters Down: Uncaged."
- 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_69e11e4a0ad08190a385b4d343cf6524 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1579a1c308190ae2174f99ae317ab |
completed | April 29, 2026, 12:58 a.m. |
Created at: April 16, 2026, 8:43 p.m.