Triple
T38670579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Point-a-Minute teams at the University of Michigan |
E940574
|
entity |
| Predicate | coachNickname |
P164878
|
FINISHED |
| Object | Hurry Up Yost |
—
|
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: Hurry Up Yost | Statement: [Point-a-Minute teams at the University of Michigan, coachNickname, Hurry Up Yost]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachNickname Context triple: [Point-a-Minute teams at the University of Michigan, coachNickname, Hurry Up Yost]
-
A.
nicknameOfTeamCoached
chosen
Indicates that one entity is the nickname or moniker used to refer to the sports team that another entity coaches.
-
B.
coachFullName
Indicates the full, properly formatted name of a coach associated with an entity.
-
C.
coachOf
Indicates that one entity serves as the coach (trainer or manager) of another entity, typically a person or team.
-
D.
headCoachFullName
Indicates the full personal name of the individual who serves as head coach for a given team or organization.
-
E.
headCoachTeam
Indicates that a person serves as the head coach of a particular 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_69f76edfde348190bf6529d9f49ecd62 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 3, 2026, 4:33 p.m.