Triple

T21502356
Position Surface form Disambiguated ID Type / Status
Subject Justin Lin E530506 entity
Predicate notableWork P4 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: [Justin Lin, notableWork, F9]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: F9
Context triple: [Justin Lin, notableWork, 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. F91
    F91 is a professional football club from Dudelange, Luxembourg, known for its domestic success and appearances in European competitions.
  • E. Fury
    Fury is a 2014 World War II war film directed by David Ayer, starring Brad Pitt and Scott Eastwood, that follows a U.S. tank crew on a dangerous mission in Nazi Germany.
  • 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_69e0c45bd15481909fba5910765cdda2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea5d209881908754eb07a47e478a completed April 23, 2026, 9:46 a.m.
Created at: April 16, 2026, 6:24 p.m.