Triple
T24293582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Lindsay |
E605889
|
entity |
| Predicate | officeStartTime (Mayor of New York City) |
P42554
|
FINISHED |
| Object | 1966-01-01 |
—
|
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: 1966-01-01 | Statement: [John Lindsay, officeStartTime (Mayor of New York City), 1966-01-01]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeStartTime (Mayor of New York City) Context triple: [John Lindsay, officeStartTime (Mayor of New York City), 1966-01-01]
-
A.
officeStartTime (Governor of New York)
Indicates the specific time at which the Governor of New York officially begins their term in office.
-
B.
officeStartForMayorOfNewYorkCity
chosen
Indicates the date on which an individual begins their term in office as the Mayor of New York City.
-
C.
officeEndTime (Governor of New York)
Indicates the time at which a person’s tenure as Governor of New York officially ends.
-
D.
officeStartTime (Governor of California)
Indicates the time at which the Governor of California officially begins their term in office.
-
E.
officeStartTime (Governor of New Jersey)
Indicates the time at which the Governor of New Jersey officially begins their term in office.
- 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.