Triple
T22090447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fatman |
E545898
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Brandon James |
—
|
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: Brandon James | Statement: [Fatman, producer, Brandon James]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brandon James Context triple: [Fatman, producer, Brandon James]
-
A.
Brandon James
Brandon James is a video game director best known for leading the development of the horror-themed first-person shooter expansion Doom 3: Resurrection of Evil.
-
B.
Brandon James
chosen
Brandon James is a film producer known for his work on the 2018 drama "Arizona."
-
C.
Payton Jordan
Payton Jordan was a renowned American track and field coach best known for leading the 1968 U.S. Olympic team and for his long, successful tenure at Stanford University.
-
D.
Terrelle Pryor
Terrelle Pryor is an American former football quarterback and wide receiver who starred at Ohio State before playing in the NFL for several teams.
-
E.
Jay Cutler
Jay Cutler is an American professional bodybuilder best known for winning multiple Mr. Olympia titles in the 2000s and being one of the sport’s most prominent modern champions.
- 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e53dfc81909858cdad8b09c5fb |
completed | April 28, 2026, 9:38 p.m. |
Created at: April 16, 2026, 8:29 p.m.