Triple

T10631732
Position Surface form Disambiguated ID Type / Status
Subject Kevin Brady E250471 entity
Predicate hasOfficeHeldLabel P30303 FINISHED
Object U.S. Representative from Texas 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: U.S. Representative from Texas | Statement: [Kevin Brady, hasOfficeHeldLabel, U.S. Representative from Texas]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOfficeHeldLabel
Context triple: [Kevin Brady, hasOfficeHeldLabel, U.S. Representative from Texas]
  • A. heldPoliticalOfficeIn
    Indicates that an entity served in a political office or position within a specified governmental body or jurisdiction.
  • B. hasHeldOfficeType chosen
    Indicates that an entity has at some time occupied or served in a specified type or category of office or position.
  • C. memberHeldOfficeFrom
    Indicates that a member began holding a particular office or position starting from a specified date or time.
  • D. notableFormerOfficeHolderRole
    Indicates that an entity previously held a particular official position or role that is considered notable.
  • E. hasPoliticalOfficeScope
    Indicates that a political office or position is limited to, defined within, or applicable to a specific jurisdiction, level, or scope of political authority.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6df94dc1c8190b6347eaf35a5acc2 completed April 8, 2026, 11:07 p.m.
PD Predicate disambiguation batch_69d6dd7fae088190973f70c69738af49 completed April 8, 2026, 10:58 p.m.
Created at: April 8, 2026, 9:01 p.m.