Triple
T10327792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jordie Barrett |
E242803
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object | Kevin Barrett |
E240414
|
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: Kevin Barrett | Statement: [Jordie Barrett, father, Kevin Barrett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Barrett Context triple: [Jordie Barrett, father, Kevin Barrett]
-
A.
Kevin Barrett
chosen
Kevin Barrett is a former New Zealand rugby union player and Taranaki stalwart, best known as the father of All Blacks stars including Beauden Barrett.
-
B.
Mike Savage
Mike Savage is a Canadian politician who has served as the mayor of Halifax, Nova Scotia.
-
C.
Kevin McCormick
Kevin McCormick is a film producer known for his work on major Hollywood projects, including the crime drama "Gangster Squad."
-
D.
John Batchelor
John Batchelor is an Australian actor known for his work in film, television, and theatre.
-
E.
Kevin Demoff
Kevin Demoff is an American sports executive best known for serving as the top front-office leader of the NFL’s Los Angeles Rams, overseeing the team’s business operations and strategic direction.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7cf21e08190bf605daeea0d9dcf |
completed | April 7, 2026, 10:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71dafa9308190ae0d3c34ba0c58b1 |
completed | April 9, 2026, 3:31 a.m. |
Created at: April 6, 2026, 11:51 a.m.