Triple

T13905132
Position Surface form Disambiguated ID Type / Status
Subject Yealand Conyers E334328 entity
Predicate adjacentTo P224 FINISHED
Object Yealand Redmayne E334327 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: Yealand Redmayne | Statement: [Yealand Conyers, adjacentTo, Yealand Redmayne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yealand Redmayne
Context triple: [Yealand Conyers, adjacentTo, Yealand Redmayne]
  • A. Yealand Redmayne chosen
    Yealand Redmayne is a small rural village in Lancashire, England, known for its scenic countryside and traditional character.
  • B. Jaime Winstone
    Jaime Winstone is an English actress known for her roles in film and television, often appearing in gritty dramas and independent British productions.
  • C. Andrea Jenkyns
    Andrea Jenkyns is a British Conservative Party politician known for her pro-Brexit stance and service as a Member of Parliament.
  • D. Noël Piper
    Noël Piper is an American Christian author and speaker known for her writings on faith, family, and hospitality, and for her long-time ministry partnership with her husband, theologian John Piper.
  • E. Bethan Roberts
    Bethan Roberts is a British novelist best known for her critically acclaimed works of literary fiction, including the novel that inspired the film "My Policeman."
  • 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de25db1e308190aaed6a21e443cc44 completed April 14, 2026, 11:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce7638a88190aae1b59c00ee27ce completed May 3, 2026, 10:38 p.m.
Created at: April 9, 2026, 10:16 p.m.