Triple

T10293401
Position Surface form Disambiguated ID Type / Status
Subject Scott Waugh E241419 entity
Predicate notableWork P4 FINISHED
Object Need for Speed E241418 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: Need for Speed | Statement: [Scott Waugh, notableWork, Need for Speed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Need for Speed
Context triple: [Scott Waugh, notableWork, Need for Speed]
  • A. Need for Speed (video game series) chosen
    Need for Speed is a long-running racing video game franchise known for its high-speed street racing, car customization, and police chases.
  • B. Speed (franchise)
    Speed is an American action-thriller film franchise best known for its high-stakes, vehicle-based suspense and its breakout 1994 film starring Keanu Reeves and Sandra Bullock.
  • C. Need for Speed (2014 film)
    Need for Speed (2014 film) is an action-packed racing movie based on the popular video game series, following a street racer seeking revenge through high-stakes cross-country car battles.
  • D. Gran Turismo
    Gran Turismo is a long-running and highly realistic racing simulation video game series known for its extensive car roster and meticulous attention to driving physics.
  • E. Jet Set Radio
    Jet Set Radio is a stylish cel-shaded action game known for its graffiti-tagging, inline skating, and influential soundtrack set in a futuristic Tokyo.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2d46fb08190b7694290692e47dc completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d1c180481909ca9983e14cbb931 completed April 9, 2026, 3:29 a.m.
Created at: April 6, 2026, 11:42 a.m.