Triple
T884032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tottenham Hotspur F.C. |
E19088
|
entity |
| Predicate | governingBodyMembership |
P3401
|
FINISHED |
| Object | Premier League shareholders |
—
|
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: Premier League shareholders | Statement: [Tottenham Hotspur F.C., governingBodyMembership, Premier League shareholders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governingBodyMembership Context triple: [Tottenham Hotspur F.C., governingBodyMembership, Premier League shareholders]
-
A.
governingBodyOfType
Indicates that an entity serves as the official governing body for another entity of a specified type or category.
-
B.
boardMember
Indicates that a person serves on the governing board of an organization, participating in its oversight and decision-making.
-
C.
governingBodyInvolvement
Indicates the extent or manner in which a governing body participates in, oversees, or influences a particular activity, decision, or entity.
-
D.
committeeMember
chosen
Indicates that an entity serves as a member of a particular committee.
-
E.
memberHoldsOffice
Indicates that a member occupies or serves in a specific official position or office within an organization or governing body.
- 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_69a4939c32488190a7ccd41cf0abb22b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ace495348190aec66f35ea90bc89 |
completed | March 1, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69a4aa8eca748190b58e0f08b30fba43 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.