Triple
T6837102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eliot Spitzer |
E157476
|
entity |
| Predicate | termLengthAsGovernorOfNewYork |
P540
|
FINISHED |
| Object | less than one full term |
—
|
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: less than one full term | Statement: [Eliot Spitzer, termLengthAsGovernorOfNewYork, less than one full term]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termLengthAsGovernorOfNewYork Context triple: [Eliot Spitzer, termLengthAsGovernorOfNewYork, less than one full term]
-
A.
termLength
chosen
Indicates the duration or period of time for which an agreement, position, or condition remains in effect.
-
B.
succeededBy (Governor of New York)
Indicates that one individual directly follows another in holding the office of Governor of New York.
-
C.
servedAsGovernorUntil
Indicates that an entity held the position of governor up to a specified end date or time.
-
D.
succeededInOfficeAsSenatorFromNewYorkBy
Indicates that one individual was succeeded in the role of Senator from New York by another individual.
-
E.
termLengthNumber
Indicates the numerical value representing the duration or length of a specified term.
- 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_69c6882c53608190b99aebef079b23bd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d67db4008190b86b497bf6f0c73a |
completed | March 27, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69c6d09f90648190bc0a462c7d59de1b |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:19 p.m.