Triple
T694343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antoine de la Mothe Cadillac |
E13862
|
entity |
| Predicate | startTimeAsGovernorOfLouisiana |
P17556
|
FINISHED |
| Object | 1713 |
—
|
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: 1713 | Statement: [Antoine de la Mothe Cadillac, startTimeAsGovernorOfLouisiana, 1713]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeAsGovernorOfLouisiana Context triple: [Antoine de la Mothe Cadillac, startTimeAsGovernorOfLouisiana, 1713]
-
A.
startTimeAsFedGovernor
Indicates the date and time at which an individual began serving in the role of Federal Reserve Governor.
-
B.
currentGovernorStartDate
Indicates the date on which the entity’s current governorship officially began.
-
C.
hadGovernor
Indicates that an administrative region or political entity was governed by a specific person who held the office of governor.
-
D.
startTimeOfPosition_GovernorOfNewHampshire
Indicates the time at which an individual begins serving in the position of Governor of New Hampshire.
-
E.
governorOfMassachusettsTermStart
Indicates the date on which an individual’s term as Governor of Massachusetts officially begins.
- 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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a0c3f39c8190a3014df428817492 |
completed | March 1, 2026, 8:25 p.m. |
| PD | Predicate disambiguation | batch_69a49d23e0a08190b08be9d1eff2a1bb |
completed | March 1, 2026, 8:10 p.m. |
| PDg | Predicate description generation | batch_69a49df19c9481909cc9bc33ed7f011b |
completed | March 1, 2026, 8:13 p.m. |
Created at: March 1, 2026, 7:36 p.m.