Triple
T37058147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Myers |
E917249
|
entity |
| Predicate | workedWithCoach |
P187284
|
FINISHED |
| Object | Steve Kerr |
—
|
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: Steve Kerr | Statement: [Bob Myers, workedWithCoach, Steve Kerr]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workedWithCoach Context triple: [Bob Myers, workedWithCoach, Steve Kerr]
-
A.
hasCoachedFor
Indicates that one entity has served in a coaching role for another entity, such as a team, organization, or individual.
-
B.
coachedAlongside
Indicates that two or more individuals served as coaches at the same time, typically for the same team, organization, or event.
-
C.
hasCoachingExperienceAs
Indicates that an entity has experience providing coaching in a specified role or capacity.
-
D.
coachedUntil
Indicates that one entity served as a coach for another entity or team up to a specified end time or date.
-
E.
influencedByCoach
Indicates that an entity’s performance, behavior, or development is affected or shaped by the guidance or actions of a coach.
- 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_69f76e95fa40819091e14681087ae5e4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb34e5576881909394355c8ec6ddd2 |
completed | May 6, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69fb2f6171e88190bf1e0ee6a644b6a9 |
completed | May 6, 2026, 12:09 p.m. |
| PDg | Predicate description generation | batch_69fb34e4906c8190abb1c293fb84329a |
completed | May 6, 2026, 12:32 p.m. |
Created at: May 3, 2026, 4:14 p.m.