Triple

T28967389
Position Surface form Disambiguated ID Type / Status
Subject Donald Norcross E732076 entity
Predicate has public office P62332 FINISHED
Object Member of the U.S. House of Representatives 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: Member of the U.S. House of Representatives | Statement: [Donald Norcross, has public office, Member of the U.S. House of Representatives]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: has public office
Context triple: [Donald Norcross, has public office, Member of the U.S. House of Representatives]
  • A. heldPoliticalOfficeIn chosen
    Indicates that an entity served in a political office or position within a specified governmental body or jurisdiction.
  • B. 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.
  • C. builtUnderPoliticalOffice
    Indicates that the construction or creation of something occurred during the tenure of a particular political office or officeholder.
  • D. hasPoliticalPositionOn
    Indicates that an entity holds or expresses a specific stance, view, or opinion regarding a political issue, policy, or topic.
  • E. hadMinisterialPost
    Indicates that an entity has held or occupied a ministerial government position or office.
  • 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_69f043ee242c8190b063248b417c5a69 completed April 28, 2026, 5:21 a.m.
NER Named-entity recognition batch_69f65c2dca28819092e3a5f8e4876113 completed May 2, 2026, 8:18 p.m.
PD Predicate disambiguation batch_69f659d02f1c8190831758ac52bb54e4 completed May 2, 2026, 8:08 p.m.
Created at: April 28, 2026, 8:52 a.m.