Triple

T20163352
Position Surface form Disambiguated ID Type / Status
Subject B&M E491768 entity
Predicate notableWork P4 FINISHED
Object Griffon 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: Griffon | Statement: [B&M, notableWork, Griffon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Griffon
Context triple: [B&M, notableWork, Griffon]
  • A. Griffon chosen
    Griffon is a steel dive roller coaster designed by Swiss manufacturer Bolliger & Mabillard, known for its floorless trains and dramatic vertical drops.
  • B. Griffon
    Griffon is the mythical winged lion-eagle creature that serves as the symbol and spirit representative for Missouri Western State University’s athletic teams.
  • C. Greif
    Greif is the NATO reporting name for the German World War II long-range heavy bomber Heinkel He 177.
  • D. Hawk
    Hawk is a tough, enigmatic streetwise enforcer and ally to private investigator Spenser in the "Spenser: For Hire" television series and related works.
  • E. Hawk
    Hawk is a DC Comics superheroine and avatar of war who often partners with Dove and appears prominently in the "Brightest Day" storyline.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66841b7d88190af3606f762d87b24 completed April 20, 2026, 5:54 p.m.
Created at: April 11, 2026, 11:35 p.m.