Triple
T23817507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dru Joyce III |
E589134
|
entity |
| Predicate | coachingAt |
P153749
|
FINISHED |
| Object | Duquesne Dukes men's basketball |
—
|
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: Duquesne Dukes men's basketball | Statement: [Dru Joyce III, coachingAt, Duquesne Dukes men's basketball]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachingAt Context triple: [Dru Joyce III, coachingAt, Duquesne Dukes men's basketball]
-
A.
coachingBase
Indicates a foundational coaching relationship in which one entity serves as the primary coach or mentor for another.
-
B.
coachingSpecialty
Indicates that a coach focuses on or is specialized in a particular area, topic, or type of coaching.
-
C.
basedInAsCoach
Indicates that a person holds a coaching position for an organization or team that is located in a specified place.
-
D.
assistantCoachAt
Indicates that one entity serves in the role of assistant coach for a sports team, organization, or program represented by the other entity.
-
E.
coachedAtEvent
Indicates that a person served as a coach at a specific event.
- F. None of above. chosen
Provenance (4 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_69e25d18619081909c7fb89d8926f14a |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c7ac0c688190a627b9b42c7587d5 |
completed | April 29, 2026, 8:56 a.m. |
| PD | Predicate disambiguation | batch_69f156036ad48190bc2ffdaf39218bcb |
completed | April 29, 2026, 12:51 a.m. |
| PDg | Predicate description generation | batch_69f158b0e320819090b947ee7eb14116 |
completed | April 29, 2026, 1:02 a.m. |
Created at: April 17, 2026, 7:58 p.m.