Triple

T18184897
Position Surface form Disambiguated ID Type / Status
Subject Funen Painters E435385 entity
Predicate hasMember P10 FINISHED
Object Peter Hansen 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: Peter Hansen | Statement: [Funen Painters, hasMember, Peter Hansen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Hansen
Context triple: [Funen Painters, hasMember, Peter Hansen]
  • A. Peter Hansen chosen
    Peter Hansen is a relatively common personal name shared by multiple individuals across various professions, including politics, sports, and the arts.
  • B. Peter Bohlin
    Peter Bohlin is an American architect renowned for his humanistic, context-sensitive designs and as a founding partner of the acclaimed firm Bohlin Cywinski Jackson, known for projects such as Apple’s iconic retail stores.
  • C. Peter Lauritson
    Peter Lauritson is a television and film producer best known for his extensive work on the Star Trek franchise, including multiple series and feature films.
  • D. Ron Jensen
    Ron Jensen is an American politician who has served as the mayor of Grand Prairie, Texas.
  • E. Ryan Hansen
    Ryan Hansen is an American actor best known for his role as Dick Casablancas on the television series "Veronica Mars."
  • 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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dffdccd881908da772db78b9d081 completed April 19, 2026, 2 p.m.
Created at: April 10, 2026, 10:31 a.m.