Triple
T657810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of California Board of Regents |
E11685
|
entity |
| Predicate | exOfficioMember |
P8802
|
FINISHED |
| Object | Governor of California |
—
|
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: Governor of California | Statement: [University of California Board of Regents, exOfficioMember, Governor of California]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exOfficioMember Context triple: [University of California Board of Regents, exOfficioMember, Governor of California]
-
A.
committeeMember
Indicates that an entity serves as a member of a particular committee.
-
B.
boardMember
chosen
Indicates that a person serves on the governing board of an organization, participating in its oversight and decision-making.
-
C.
isOfficerOf
Indicates that one entity holds an official position, role, or office within another entity (such as an organization, group, or institution).
-
D.
memberHoldsOffice
Indicates that a member occupies or serves in a specific official position or office within an organization or governing body.
-
E.
memberOf
Indicates that an entity belongs to, is part of, or is a constituent of a larger group, organization, or collection.
- 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_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49fa55e048190bd9913c6c31772d0 |
completed | March 1, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69a49d121cec81909986c91291bb4ca8 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:36 p.m.