Triple
T7413684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Levi P. Morton |
E171074
|
entity |
| Predicate | orderInOfficeAsGovernorOfNewYork |
P76784
|
FINISHED |
| Object | 31 |
—
|
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: 31 | Statement: [Levi P. Morton, orderInOfficeAsGovernorOfNewYork, 31]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orderInOfficeAsGovernorOfNewYork Context triple: [Levi P. Morton, orderInOfficeAsGovernorOfNewYork, 31]
-
A.
officeEndForMayorOfNewYorkCity
Indicates the date or point in time when a person’s term as Mayor of New York City ends.
-
B.
officeStartForMayorOfNewYorkCity
Indicates the date on which an individual begins their term in office as the Mayor of New York City.
-
C.
succeededBy (Governor of New York)
Indicates that one individual directly follows another in holding the office of Governor of New York.
-
D.
officeStartTime (Governor of New York)
Indicates the specific time at which the Governor of New York officially begins their term in office.
-
E.
precededBy (Governor of New York)
Indicates that one entity held the position of Governor of New York before another entity.
- F. None of above. chosen
Provenance (4 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_69c68a618bdc81908d8018edadecd1a4 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2c336308190932c14cec5eec25f |
completed | March 27, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69c6f0345040819094c5756dfa487faf |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f1c3307481909a7f6bb69d4fddac |
completed | March 27, 2026, 9:08 p.m. |
Created at: March 27, 2026, 3:11 p.m.