Triple
T26549012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George S. Long |
E671623
|
entity |
| Predicate | electedToOfficeAs |
P144497
|
FINISHED |
| Object | Democrat |
—
|
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: Democrat | Statement: [George S. Long, electedToOfficeAs, Democrat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electedToOfficeAs Context triple: [George S. Long, electedToOfficeAs, Democrat]
-
A.
electedOffice
Indicates that an entity holds or has held a particular office or position as a result of an election.
-
B.
succeededToOfficeIn
Indicates that one entity assumed or took over an office or position previously held by another entity at a specified time or in a specified succession.
-
C.
servedInOfficeTo
Indicates that one entity held and performed the duties of a particular office or position for the benefit or under the authority of another entity.
-
D.
elected to
chosen
Indicates that an entity has been chosen, typically by a vote or formal decision process, to assume a particular position, role, or office.
-
E.
builtUnderPoliticalOffice
Indicates that the construction or creation of something occurred during the tenure of a particular political office or officeholder.
- 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_69eeb32163f08190af5f81282738e27a |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f74062b9388190b30546cf700a825c |
completed | May 3, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69f73c802b848190b61a416b7488bd96 |
completed | May 3, 2026, 12:16 p.m. |
Created at: April 27, 2026, 1:46 a.m.