Triple

T22004233
Position Surface form Disambiguated ID Type / Status
Subject Jae-ho E543406 entity
Predicate characterIn P12208 FINISHED
Object New World (2013 South Korean film) 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: New World (2013 South Korean film) | Statement: [Jae-ho, characterIn, New World (2013 South Korean film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: New World (2013 South Korean film)
Context triple: [Jae-ho, characterIn, New World (2013 South Korean film)]
  • A. Jae-ho in New World chosen
    Jae-ho in *New World* is the undercover police officer embedded in a powerful crime syndicate, portrayed by South Korean actor Lee Jung-jae in the acclaimed 2013 noir film.
  • B. New World vultures
    New World vultures are a family of scavenging birds of prey native to the Americas, known for their keen sense of smell and ecological role in consuming carrion.
  • C. Oldboy (2013 film)
    Oldboy (2013 film) is an American remake of the acclaimed South Korean neo-noir thriller, directed by Spike Lee and known for its dark, violent revenge story.
  • D. Brand New World
    "Brand New World" is a song by the Japanese rock band Rags, known for its energetic style and melodic hooks.
  • E. Train to Busan
    Train to Busan is a critically acclaimed South Korean zombie thriller film that follows passengers fighting for survival during a viral outbreak on a speeding train.
  • 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1276d81e4819083a40e51249e7fd7 completed April 28, 2026, 9:32 p.m.
Created at: April 16, 2026, 8:20 p.m.