Triple

T17024555
Position Surface form Disambiguated ID Type / Status
Subject The Karate Kid (2010 film) E413028 entity
Predicate protagonist P268 FINISHED
Object Dre Parker E1248819 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: Dre Parker | Statement: [The Karate Kid (2010 film), protagonist, Dre Parker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dre Parker
Context triple: [The Karate Kid (2010 film), protagonist, Dre Parker]
  • A. Dre Parker chosen
    Dre Parker is the young American protagonist of the 2010 remake of "The Karate Kid," who learns kung fu in China under the guidance of his mentor Mr. Han.
  • B. Tej Parker
    Tej Parker is a tech-savvy mechanic and hacker in the Fast & Furious film franchise, known for his intelligence, humor, and close partnership with Roman Pearce.
  • C. Alex Parker
    Alex Parker is a musician best known for having been a member of the American rock band No Doubt.
  • D. Kim Parker
    Kim Parker is a comedic, outspoken teenage character from the sitcom "Moesha," later becoming a central figure in its spin-off series "The Parkers."
  • E. Chan Parker
    Chan Parker was the longtime partner and later wife of jazz saxophonist Charlie Parker, known for her close association with the bebop scene and for preserving Parker’s legacy.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d5d371148190a60d32a72abec09a completed April 18, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0139ef70208190b26029511e91afb0 completed May 11, 2026, 2:07 a.m.
Created at: April 10, 2026, 5:33 a.m.