Triple
T30528155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Wynn-Jones |
E776913
|
entity |
| Predicate | sportingFieldOfWork |
P55627
|
FINISHED |
| Object | association football |
—
|
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: association football | Statement: [Michael Wynn-Jones, sportingFieldOfWork, association football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sportingFieldOfWork Context triple: [Michael Wynn-Jones, sportingFieldOfWork, association football]
-
A.
sportsInvolvement
Indicates the nature or extent of an entity’s participation in, association with, or role within a sport or sporting activity.
-
B.
sportFounded
Indicates that an entity (such as a sports team, club, or organization) was established or created by another entity.
-
C.
sportAdministrationFocus
Indicates a relationship where an entity’s primary administrative responsibilities or activities are centered on managing, organizing, or overseeing sports-related programs, operations, or policies.
-
D.
primarySports
chosen
Indicates that a particular sport is the main or most important sport associated with an entity (such as a person, team, or organization).
-
E.
sportCreated
Indicates that an entity is the originator or inventor of a particular sport.
- 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_69f2249c11508190ae7e955755ccfb01 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 29, 2026, 8:18 p.m.