Triple

T22582649
Position Surface form Disambiguated ID Type / Status
Subject Twinkie E544604 entity
Predicate returnAppearance P41938 FINISHED
Object F9 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: F9 | Statement: [Twinkie, returnAppearance, F9]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: F9
Context triple: [Twinkie, returnAppearance, F9]
  • A. F9
    F9 is the IATA airline code for Frontier Airlines, a U.S.-based ultra-low-cost carrier.
  • B. F9 chosen
    F9 is the ninth main installment in the Fast & Furious film franchise, continuing the high-octane action saga of Dominic Toretto and his crew.
  • C. Fast & Furious 9
    Fast & Furious 9 is a 2021 action film in the Fast & Furious franchise that continues the high-octane saga of Dominic Toretto and his crew with gravity-defying stunts and family-centered drama.
  • D. F99
    F99 is the Singapore Exchange stock ticker symbol for Fraser and Neave, a diversified food and beverage, publishing, and property company based in Singapore.
  • E. FURY
    FURY is the name painted on the Sherman tank featured as the central armored vehicle in the 2014 World War II film "Fury."
  • 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_69e11e30d05481909df915354c89f0d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f15ff26d6481908cc058f8c4b87e75 completed April 29, 2026, 1:33 a.m.
Created at: April 16, 2026, 8:53 p.m.