Triple
T32171632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Hoynes |
E821722
|
entity |
| Predicate | stateRepresentedAsSenator |
P39037
|
FINISHED |
| Object | Texas |
—
|
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: Texas | Statement: [John Hoynes, stateRepresentedAsSenator, Texas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateRepresentedAsSenator Context triple: [John Hoynes, stateRepresentedAsSenator, Texas]
-
A.
stateRepresentedInPolitics
Indicates that a political entity or interest is represented within the political system or decision-making structures of a given state.
-
B.
stateRepresentedInTheUSHousOfRepresentatives
Indicates that a U.S. state has representation (one or more seats) in the United States House of Representatives.
-
C.
representativeOfState
chosen
Indicates that an entity serves as an official representative or agent acting on behalf of a particular state or government.
-
D.
representedState
Indicates that one entity serves as a representation or depiction of the state or condition of another entity.
-
E.
candidateRepresentedState
Indicates that a political candidate officially represents or runs for office on behalf of a particular state.
- 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_69f3490699a48190bbef96b198e8fade |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd974d75e08190af46b1d608769f3b |
completed | May 8, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69fd94ff792c8190bedf4a639d3da809 |
completed | May 8, 2026, 7:47 a.m. |
Created at: May 1, 2026, 12:33 a.m.