Triple

T2653320
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth Anscombe E53949 entity
Predicate spouse P13 FINISHED
Object Peter Geach E286758 NE 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: Peter Geach | Statement: [Elizabeth Anscombe, spouse, Peter Geach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Geach
Context triple: [Elizabeth Anscombe, spouse, Peter Geach]
  • A. Peter Geach chosen
    Peter Geach was a British analytic philosopher known for his influential work in logic, philosophy of language, and ethics, and for his close intellectual partnership with Elizabeth Anscombe.
  • B. Peter Harvey
    Peter Harvey is a set designer known for his work on the production "Diamonds."
  • C. Peter Godfrey
    Peter Godfrey was a British-born actor and director known for his work in mid-20th-century film and television, particularly in Hollywood.
  • D. Thomas Forster
    Thomas Forster is a Jacobite military leader best known for commanding the rebel forces during the 1715 Jacobite rising in England.
  • E. Peter Johnstone
    Peter Johnstone is a British mathematician renowned for his influential work in category theory and topos theory.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ab495e192081909c77b622e8e7e15a completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd93197f48190b04faf358b503204 completed March 7, 2026, 7:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa052c91c8190abfd49dbc62a4448 completed March 10, 2026, 4:38 a.m.
Created at: March 6, 2026, 9:53 p.m.