Triple
T26456401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt Nover |
E665501
|
entity |
| Predicate | countryOfOriginForSportsCareer |
P41787
|
FINISHED |
| Object | United States of America |
—
|
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: United States of America | Statement: [Matt Nover, countryOfOriginForSportsCareer, United States of America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfOriginForSportsCareer Context triple: [Matt Nover, countryOfOriginForSportsCareer, United States of America]
-
A.
countryOfOriginForMusicCareer
Indicates the country where an artist’s professional music career was primarily started or established.
-
B.
countryOfPlayer
chosen
Indicates the country with which a given player is associated, such as their nationality or the nation they represent.
-
C.
countryOfClubCareer
Indicates the country in which an entity’s club-level sports career took place or is associated.
-
D.
professionalDebutCountry
Indicates the country in which an individual made their professional debut.
-
E.
homeCountryForLeaguePurposes
Indicates the country that is officially recognized as a league’s home or base of operations for regulatory or organizational purposes.
- F. None of above.
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_69ee883d5040819097dd154643005230 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f7a225a77c81908f8953ccfeb14336 |
completed | May 3, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
Created at: April 27, 2026, 12:09 a.m.