Triple

T20414730
Position Surface form Disambiguated ID Type / Status
Subject Walter Lure E500677 entity
Predicate familyName P18 FINISHED
Object Lure 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: Lure | Statement: [Walter Lure, familyName, Lure]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lure
Context triple: [Walter Lure, familyName, Lure]
  • A. Lure chosen
    Lure is a small administrative town in eastern France that serves as one of the key local centers of the Haute-Saône department in the Bourgogne-Franche-Comté region.
  • B. The Lure
    "The Lure" is a stage play written by American dramatist and magician Channing Pollock.
  • C. The Angler
    "The Angler" is a short story by Washington Irving that reflects his nostalgic, gently humorous style and interest in English rural life.
  • D. Catfish Hunter
    Catfish Hunter was a Hall of Fame Major League Baseball pitcher renowned for his dominance in the late 1960s and 1970s, particularly with the Oakland Athletics and New York Yankees.
  • E. The Burning Perch
    The Burning Perch is a posthumously published 1963 poetry collection by Louis MacNeice that reflects his late style of lyrical, reflective, and often darkly ironic verse.
  • 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a4281048190a2b016ec16b7d203 completed April 20, 2026, 7:10 p.m.
Created at: April 16, 2026, 11:30 a.m.