Triple

T21686901
Position Surface form Disambiguated ID Type / Status
Subject Smiley Face E535252 entity
Predicate starring P1507 FINISHED
Object John Cho 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: John Cho | Statement: [Smiley Face, starring, John Cho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Cho
Context triple: [Smiley Face, starring, 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. Stephen Park
    Stephen Park is a Korean American actor and comedian known for his roles in films such as Fargo and The French Dispatch, as well as his work on the sketch series In Living Color.
  • C. 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.
  • D. Lewis Taewan Kim
    Lewis Taewan Kim is a film producer best known for his work on the critically acclaimed fantasy drama film "Okja."
  • E. 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.
  • 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_69e0c469b6ec8190aee4cadd1527db91 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef96cc31b8819086ca980521f94501 completed April 27, 2026, 5:03 p.m.
Created at: April 16, 2026, 6:44 p.m.