Triple
T24050191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan McKee |
E595632
|
entity |
| Predicate | assumedOfficeAsGovernorOfRhodeIsland |
P154673
|
FINISHED |
| Object | March 2021 |
—
|
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: March 2021 | Statement: [Dan McKee, assumedOfficeAsGovernorOfRhodeIsland, March 2021]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: assumedOfficeAsGovernorOfRhodeIsland Context triple: [Dan McKee, assumedOfficeAsGovernorOfRhodeIsland, March 2021]
-
A.
succeededInOfficeAsGovernorBy
Indicates that one individual’s term as governor ended and was directly followed by another individual’s term in the same office.
-
B.
servedAsGovernorUntil
Indicates that an entity held the position of governor up to a specified end date or time.
-
C.
succeededBy (Governor of Vermont)
Indicates that one individual directly followed another in holding the office of Governor of Vermont.
-
D.
governorOfMassachusettsTermStart
Indicates the date on which an individual’s term as Governor of Massachusetts officially begins.
-
E.
officeAssumedAsLieutenantGovernor
Indicates that an individual has formally taken on and begun serving in the role of lieutenant governor.
- 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_69e288c184b081909f1f1751fb8e299a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d9cfb914819091a3378518f9f28d |
completed | April 29, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f1764345388190a3102b62ddb729b4 |
completed | April 29, 2026, 3:08 a.m. |
| PDg | Predicate description generation | batch_69f1785afe3c81909be28986ffe944bf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 10:20 p.m.