Triple
T21705147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amat |
E535753
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Pol Amat |
—
|
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: Pol Amat | Statement: [Amat, hasNotableBearer, Pol Amat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pol Amat Context triple: [Amat, hasNotableBearer, Pol Amat]
-
A.
Pol Amat
chosen
Pol Amat is a renowned Spanish field hockey player widely regarded as one of the sport’s greatest forwards.
-
B.
Amat
Amat is a surname most notably borne by Pol Amat, a renowned Spanish field hockey player considered one of the sport’s greats.
-
C.
Amares
Amares is a municipality in northern Portugal known for its rural landscapes, historical churches, and proximity to the city of Braga in the Minho region.
-
D.
Molinaro
Molinaro is an Italian occupational surname, historically associated with millers and derived from the same root as "Molinero."
-
E.
Amar'e
Amar'e is a retired American professional basketball player best known as an explosive All-Star power forward in the NBA, primarily with the Phoenix Suns and New York Knicks.
- 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_69e0c46b44c0819088ab883ebd44e0e8 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb52e4b84819095a24cc9fdca2b8a |
completed | April 27, 2026, 7:12 p.m. |
Created at: April 16, 2026, 6:46 p.m.