Triple

T22837821
Position Surface form Disambiguated ID Type / Status
Subject Flack E565993 entity
Predicate starring P1507 FINISHED
Object Daniel Dae Kim NE NERFINISHED

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: Daniel Dae Kim | Statement: [Flack, starring, Daniel Dae Kim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Dae Kim
Context triple: [Flack, starring, Daniel Dae Kim]
  • A. Daniel Dae Kim chosen
    Daniel Dae Kim is a Korean American actor and producer best known for his roles on "Lost" and "Hawaii Five-0" and for his work bringing greater Asian American representation to film and television.
  • B. John Cho
    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.
  • C. James Hong
    James Hong is a prolific American character actor and voice actor known for his roles in films like "Big Trouble in Little China," "Blade Runner," and numerous animated features.
  • D. Alan Kim
    Alan Kim is a young American actor best known for his acclaimed breakout performance as the grandson David in the film "Minari."
  • E. Ke Huy Quan
    Ke Huy Quan is a Vietnamese-American actor and former child star best known for his comeback role in "Everything Everywhere All at Once," which earned him widespread critical acclaim and major awards.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e303cec81909c5c118dc8c93354 completed April 29, 2026, 3:42 a.m.
Created at: April 17, 2026, 3:35 p.m.