Triple
T23528044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forest–Derby rivalry |
E576485
|
entity |
| Predicate | notableManagerForBothClubs |
P153119
|
FINISHED |
| Object | Brian Clough |
—
|
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: Brian Clough | Statement: [Forest–Derby rivalry, notableManagerForBothClubs, Brian Clough]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableManagerForBothClubs Context triple: [Forest–Derby rivalry, notableManagerForBothClubs, Brian Clough]
-
A.
notableClub
Indicates that an entity is prominently associated with or recognized for membership in a particular club or organization.
-
B.
notableManagerInLeague
Indicates that a manager is recognized as notable or distinguished within a particular sports league.
-
C.
notablePlayerManaged
Indicates that a notable or prominent player was managed or coached by a particular manager or team.
-
D.
notableClubsInclude
Indicates that the specified clubs are among the particularly significant or well-known clubs associated with the given entity.
-
E.
clubManagedMostNotably
Indicates that a club is best or most famously known for being managed by a particular person.
- 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_69e245f5a8848190a2ba42e271c6c31f |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ac758038819098f5f597be39274e |
completed | April 29, 2026, 7 a.m. |
| PD | Predicate disambiguation | batch_69f1189d75b48190a1c01928a993c9fb |
completed | April 28, 2026, 8:29 p.m. |
| PDg | Predicate description generation | batch_69f12760784c8190aaeff002ef31febe |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 17, 2026, 6:09 p.m.