Triple
T3469455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howard Wilkinson |
E73217
|
entity |
| Predicate | roleAtLeedsUnited |
P13665
|
FINISHED |
| Object | manager |
—
|
LITERAL FINISHED |
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: manager | Statement: [Howard Wilkinson, roleAtLeedsUnited, manager]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtLeedsUnited Context triple: [Howard Wilkinson, roleAtLeedsUnited, manager]
-
A.
roleInManchesterCity
Indicates that an entity holds or has held a specific role or position within Manchester City Football Club.
-
B.
roleAtSportsTeam
chosen
Indicates the specific position or function an individual holds within a sports team.
-
C.
associatedWithFootballClub
Indicates that there is a relationship of affiliation or connection between an entity and a football club.
-
D.
leagueUsedFor
Indicates that a particular league is utilized as the context, setting, or organizing framework for some activity, event, or competition.
-
E.
associatedPlayerRole
Indicates a relationship where a specific role or function is linked to, or held by, a particular player.
- 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_69ad85b2fed48190948c8765e453d270 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb376d288190abac85f2ffa853dc |
completed | March 8, 2026, 6:08 p.m. |
| PD | Predicate disambiguation | batch_69adae07802c8190919c49b0e65b2797 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:17 p.m.