Triple
T30340771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lazarus W. Powell |
E771744
|
entity |
| Predicate | was19thCenturyPoliticianIn |
P104904
|
FINISHED |
| Object | United States |
—
|
NE NERFINISHED |
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: United States | Statement: [Lazarus W. Powell, was19thCenturyPoliticianIn, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: was19thCenturyPoliticianIn Context triple: [Lazarus W. Powell, was19thCenturyPoliticianIn, United States]
-
A.
isAmericanPolitician
chosen
Indicates that a person is a politician who holds or has held political office in the United States.
-
B.
politicalAlignmentIn19thCentury
Indicates the political stance or ideological orientation an entity held during the 19th century.
-
C.
wasElectorate
Indicates that one entity functioned as the electorate (voting body or constituency) for another entity, such as an office, position, or representative.
-
D.
wasARepresentativeFor
Indicates that one entity served as an official representative or delegate acting on behalf of another entity.
-
E.
hasPoliticalPositionOn
Indicates that an entity holds or expresses a specific stance, view, or opinion regarding a political issue, policy, or topic.
- 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_69f2248b9a208190bc3e6804acd5afd6 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68202f0fc8190b6ad7101515ae10f |
completed | May 2, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69f67603526c81908295a1ece8727c66 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:55 p.m.