Triple

T9996078
Position Surface form Disambiguated ID Type / Status
Subject Original Film E197204 entity
Predicate produced P490 FINISHED
Object F9 E241109 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: F9 | Statement: [Original Film, produced, F9]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: F9
Context triple: [Original Film, produced, F9]
  • A. 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.
  • B. F9
    F9 is the IATA airline code for Frontier Airlines, a U.S.-based ultra-low-cost carrier.
  • 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. 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.
  • E. Fury
    Fury is a 1936 American crime drama film directed by Fritz Lang, often regarded as his first major Hollywood work and a powerful critique of mob justice.
  • 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_69ca82f3b61c81908ecc2c1c96dbc2e4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcb9af6a88190942cc4991bd373c1 completed April 2, 2026, 1:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26a2bc4f081909595afcc2c862eda completed April 5, 2026, 1:56 p.m.
Created at: March 30, 2026, 8:50 p.m.