Triple
T9885009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Kerr |
E180907
|
entity |
| Predicate | nationalTeamCoachRole |
P2169
|
FINISHED |
| Object | head coach of USA men's national basketball team |
—
|
LITERAL 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: head coach of USA men's national basketball team | Statement: [Steve Kerr, nationalTeamCoachRole, head coach of USA men's national basketball team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalTeamCoachRole Context triple: [Steve Kerr, nationalTeamCoachRole, head coach of USA men's national basketball team]
-
A.
coachedTeamInCountry
Indicates that a person served as a coach for a particular team while that team was based in or associated with a specified country.
-
B.
playerCoachTeam
Indicates a relationship where a player is coached by a specific coach while playing for a particular team.
-
C.
countryCoached
Indicates that a person has served as a coach for a particular country’s team or delegation.
-
D.
coachOf
chosen
Indicates that one entity serves as the coach (trainer or manager) of another entity, typically a person or team.
-
E.
overseesNationalTeam
Indicates that one entity has managerial or supervisory responsibility over a country's national team.
- 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_69ca828082cc8190a40f8d299caa6545 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb45549488190833200977d558e47 |
completed | April 2, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69cd1d810ed48190a252b70e9390c8f3 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:38 p.m.