Triple
T22968205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Demian Maia |
E571105
|
entity |
| Predicate | hasCompetitor |
P1375
|
FINISHED |
| Object | Matt Brown |
—
|
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: Matt Brown | Statement: [Demian Maia, hasCompetitor, Matt Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Brown Context triple: [Demian Maia, hasCompetitor, Matt Brown]
-
A.
Matt Brown
chosen
Matt Brown is an American mixed martial artist and longtime UFC welterweight known for his aggressive, brawling style and high finishing rate.
-
B.
Matt Brown
Matt Brown is a reality television personality best known as one of the original members of the Brown family featured on the Discovery Channel series "Alaskan Bush People."
-
C.
Matt Brown
Matt Brown is a musician best known as a former member of the American pop-punk band The Hi-Fives.
-
D.
Mark Brown
Mark Brown is a musician best known as a member of Prince’s backing band, The Revolution.
-
E.
Mark Brown
Mark Brown is an American filmmaker and screenwriter best known for writing and directing the romantic comedy film "Two Can Play That Game."
- 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_69e245b2c6548190a0e4c7f2f7df2d48 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182301f388190bb39e3d5b356dc65 |
completed | April 29, 2026, 3:59 a.m. |
Created at: April 17, 2026, 3:48 p.m.