Triple
T487110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George B. McClellan |
E9901
|
entity |
| Predicate | endTime (Governor of New Jersey) |
P4346
|
FINISHED |
| Object | 1881 |
—
|
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: 1881 | Statement: [George B. McClellan, endTime (Governor of New Jersey), 1881]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTime (Governor of New Jersey) Context triple: [George B. McClellan, endTime (Governor of New Jersey), 1881]
-
A.
endTimeOfPosition_GovernorOfNewHampshire
Indicates the date and time at which an individual’s tenure in the position of Governor of New Hampshire ends.
-
B.
officeholderEndTime
chosen
Indicates the time or date at which a person’s term in a particular office or position comes to an end.
-
C.
currentGovernor
Indicates that one entity is the person who presently holds the office of governor of the other entity.
-
D.
precededInOfficeAsSenatorFromNewYorkBy
Indicates that one individual assumed the role of U.S. Senator from New York after another, who directly held the office immediately before them.
-
E.
hadGovernor
Indicates that an administrative region or political entity was governed by a specific person who held the office of governor.
- 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_69a2f0de66308190a18503a482881cfc |
completed | Feb. 28, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69a2edf63fbc819090ea6ca11f39116a |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.