Triple
T485758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Comptroller of New York |
E9871
|
entity |
| Predicate | constitutionalOfficer |
P2259
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Comptroller of New York, constitutionalOfficer, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: constitutionalOfficer Context triple: [Comptroller of New York, constitutionalOfficer, yes]
-
A.
constitutionalPosition
chosen
Indicates the official role, office, or status an entity holds within a constitutional or legal framework.
-
B.
isOfficerOf
Indicates that one entity holds an official position, role, or office within another entity (such as an organization, group, or institution).
-
C.
officeHolderOf
Indicates that a person holds or has held an official position or role within a specified organization, institution, or office.
-
D.
U.S.GovernmentPosition
Indicates that an entity holds, held, or is associated with an official position or office within the United States government.
-
E.
appointedByOffice
Indicates that an entity attains its position or role through a formal appointment made by a specific office or official authority.
- 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_69a2e802e2908190ab17c9479e0b6412 |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f0bb46788190b40182bf2a54f98f |
completed | Feb. 28, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69a2edf48ec08190b85d07e194f99c49 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.