Triple

T1638892
Position Surface form Disambiguated ID Type / Status
Subject Giovanni Ribisi E35421 entity
Predicate notableWork P4 FINISHED
Object Gone in 60 Seconds E50449 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: Gone in 60 Seconds | Statement: [Giovanni Ribisi, notableWork, Gone in 60 Seconds]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gone in 60 Seconds
Context triple: [Giovanni Ribisi, notableWork, Gone in 60 Seconds]
  • A. Gone in 60 Seconds chosen
    Gone in 60 Seconds is a high-octane heist film centered on a retired car thief forced to steal dozens of luxury vehicles in one night to save his brother’s life.
  • B. The Italian Job
    The Italian Job is a 2003 heist film known for its stylish Mini Cooper car chases and ensemble cast, including Charlize Theron and Mark Wahlberg.
  • C. The Fast and the Furious: Tokyo Drift
    The Fast and the Furious: Tokyo Drift is a 2006 action film in the Fast & Furious franchise that centers on underground drift racing culture in Tokyo, Japan.
  • D. Non-Stop
    Non-Stop is a 2014 action-thriller film in which Liam Neeson plays an air marshal trying to stop a mysterious hijacker during a transatlantic flight.
  • E. Speed Racer
    Speed Racer is a 2008 live-action film adaptation of the classic Japanese anime and manga series, known for its hyper-stylized visuals and high-octane racing sequences.
  • 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_69a88604618c81908b41f6429c431eb6 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a1c2b148190b6610237d5bede10 completed March 5, 2026, 4:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad58ddfdbc819096578412818fdfbf completed March 8, 2026, 11:09 a.m.
Created at: March 4, 2026, 7:28 p.m.