Triple

T5271361
Position Surface form Disambiguated ID Type / Status
Subject Hikaru Sulu E119264 entity
Predicate portrayedBy P1507 FINISHED
Object John Cho E115973 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: John Cho | Statement: [Hikaru Sulu, portrayedBy, John Cho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Cho
Context triple: [Hikaru Sulu, portrayedBy, John Cho]
  • A. John Cho chosen
    John Cho is a Korean American actor best known for his roles in the "Harold & Kumar" comedy series and as Hikaru Sulu in the rebooted "Star Trek" film franchise.
  • B. Byung-hun Lee
    Byung-hun Lee is a prominent South Korean actor known internationally for his roles in both Korean cinema and Hollywood films, including major action and thriller productions.
  • C. Jason Scott Lee
    Jason Scott Lee is an American actor and martial artist best known for his lead role in the biographical film "Dragon: The Bruce Lee Story" and various voice and live-action performances in film and television.
  • D. Ken Jeong
    Ken Jeong is an American comedian, actor, and licensed physician best known for his roles in "The Hangover" film series and the TV show "Community."
  • E. Sung Kang
    Sung Kang is an American actor best known for his role as Han Lue in the Fast & Furious film franchise.
  • 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_69bd446c38e081908cdaf113bdf86790 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7c1fa01081909d589686289b624b completed March 20, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06cb5f788190b9ee79ca15da9d58 completed March 21, 2026, 8:59 p.m.
Created at: March 20, 2026, 1:51 p.m.