Triple
T730588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Stoughton |
E14821
|
entity |
| Predicate | termEndAsLieutenantGovernor |
P4346
|
FINISHED |
| Object | 1701 |
—
|
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: 1701 | Statement: [William Stoughton, termEndAsLieutenantGovernor, 1701]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termEndAsLieutenantGovernor Context triple: [William Stoughton, termEndAsLieutenantGovernor, 1701]
-
A.
officeAssumedAsLieutenantGovernor
Indicates that an individual has formally taken on and begun serving in the role of lieutenant governor.
-
B.
vicePresidentialTermEnd
Indicates the date or point in time when an individual's service in a specific vice presidential term comes to an end.
-
C.
officeholderEndTime
chosen
Indicates the time or date at which a person’s term in a particular office or position comes to an end.
-
D.
hasLieutenantGovernor
Indicates that one entity serves as the lieutenant governor of another entity (typically a state, province, or territory).
-
E.
currentGovernorStartDate
Indicates the date on which the entity’s current governorship officially began.
- 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_69a4934d9930819099eed80096b0597d |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a66820548190b373deb117187c2c |
completed | March 1, 2026, 8:49 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f9b7608190bf97c8418a26e632 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.