Triple

T21245831
Position Surface form Disambiguated ID Type / Status
Subject Wisconsin's 4th congressional district E523604 entity
Predicate currentRepresentative P537 FINISHED
Object Gwen Moore 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: Gwen Moore | Statement: [Wisconsin's 4th congressional district, currentRepresentative, Gwen Moore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gwen Moore
Context triple: [Wisconsin's 4th congressional district, currentRepresentative, Gwen Moore]
  • A. Gwen Moore chosen
    Gwen Moore is an American politician serving as a Democratic U.S. Representative from Wisconsin.
  • B. Christine Weiss
    Christine Weiss is known as the wife of French politician Gérard Larcher, longtime President of the French Senate.
  • C. Toni Estes
    Toni Estes is an American R&B singer and songwriter known for her work in the late 1990s and early 2000s, including collaborations with prominent artists and contributions to contemporary R&B tracks.
  • D. Carly Schroeder
    Carly Schroeder is an American actress best known for her roles in films like "Mean Creek" and "Gracie" and for her early work on the soap opera "Port Charles."
  • E. Coleen Rowley
    Coleen Rowley is a former FBI special agent and whistleblower known for exposing intelligence failures prior to the September 11 attacks.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b513b89c81908b27147e91368db2 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73599e5548190ad70d2c2bfa9e919 completed April 21, 2026, 8:30 a.m.
Created at: April 16, 2026, 3:49 p.m.