Triple

T15992273
Position Surface form Disambiguated ID Type / Status
Subject Racer X E387861 entity
Predicate associatedWith P37 FINISHED
Object Speed Racer (character) E393690 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: Speed Racer (character) | Statement: [Racer X, associatedWith, Speed Racer (character)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Speed Racer (character)
Context triple: [Racer X, associatedWith, Speed Racer (character)]
  • A. 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.
  • B. Lightning McQueen
    Lightning McQueen is a hotshot red race car and the ambitious, charismatic protagonist of Pixar's animated Cars film series.
  • C. Speed Racer (manga) chosen
    Speed Racer (manga) is a classic 1960s Japanese racing manga series by Tatsuo Yoshida that follows the high-speed adventures of a young race car driver and his advanced car, the Mach 5.
  • D. Butterfly McQueen
    Butterfly McQueen was an American actress best known for her distinctive voice and memorable supporting roles in classic films such as "Gone with the Wind."
  • E. Guido (Cars)
    Guido (Cars) is the enthusiastic, tire-changing Italian forklift from Pixar's Cars franchise, known for his pit-stop prowess and devotion to Ferrari.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157844ed881908b42bfc1bb740d4e completed April 16, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3d3ef2881909213ff608192f1ef completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:54 a.m.