Triple
T24293919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Lindsay – Liberal Party of New York |
E605902
|
entity |
| Predicate | nominatingParty |
P29122
|
FINISHED |
| Object | Liberal Party of New York |
—
|
NE NERFINISHED |
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: Liberal Party of New York | Statement: [John Lindsay – Liberal Party of New York, nominatingParty, Liberal Party of New York]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nominatingParty Context triple: [John Lindsay – Liberal Party of New York, nominatingParty, Liberal Party of New York]
-
A.
partyOfCandidate
Indicates the political party with which a given candidate is affiliated.
-
B.
subjectPoliticalParty
Indicates the political party with which the subject is formally affiliated or identified.
-
C.
politicalParty
Indicates that an entity is affiliated with, belongs to, or is a member of a specific political party.
-
D.
namedForPoliticalParty
Indicates that an entity is named after or in honor of a specific political party.
-
E.
nominatedCandidateOfParty
chosen
Indicates that a specific candidate has been officially selected or endorsed by a particular political party as its nominee.
- 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_69e29549335881909cbf27adcaba1cf0 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f2915870c8819089c14de19ba2a5c5 |
completed | April 29, 2026, 11:16 p.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 12:09 a.m.