Triple
T31655960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coach |
E807858
|
entity |
| Predicate | teammateDynamicWith |
P172071
|
FINISHED |
| Object | Winston Bishop |
—
|
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: Winston Bishop | Statement: [Coach, teammateDynamicWith, Winston Bishop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teammateDynamicWith Context triple: [Coach, teammateDynamicWith, Winston Bishop]
-
A.
teamDynamic
Indicates how members of a group interact, collaborate, and influence each other’s behavior and performance as a collective unit.
-
B.
teammateGroup
Indicates that multiple entities are members of the same team or collaborative group.
-
C.
friendAndTeammate
Indicates that one entity has a relationship with another in which they are both friends and members of the same team.
-
D.
wasTeammateOf
Indicates that two entities were members of the same team during an overlapping period of time.
-
E.
eraTeammateCore
Indicates that two entities were teammates during the same defined era or time period within a shared context (such as a team, organization, or league).
- 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_69f348daf95c81908b4c985b7ddcd0b3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a95e38ac819096c03f2b9872260f |
completed | May 3, 2026, 1:48 a.m. |
| PD | Predicate disambiguation | batch_69f6a757c6e081908e37631e5d8d246b |
completed | May 3, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f6a8036ab481908019f2f071fa406e |
completed | May 3, 2026, 1:42 a.m. |
Created at: April 30, 2026, 10:55 p.m.