Triple

T22031991
Position Surface form Disambiguated ID Type / Status
Subject Korean New Wave E544107 entity
Predicate hasNotableFilm P26606 FINISHED
Object The Host 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: The Host | Statement: [Korean New Wave, hasNotableFilm, The Host]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Host
Context triple: [Korean New Wave, hasNotableFilm, The Host]
  • A. The Host
    The Host is a 2013 science fiction film, based on Stephenie Meyer’s novel, in which Diane Kruger plays a key role in a future where alien “souls” have taken over human bodies.
  • B. The Host chosen
    The Host is a 2006 South Korean monster film by director Bong Joon-ho that blends creature-feature horror with dark comedy and social commentary.
  • C. The Host
    The Host is the outspoken, jovial innkeeper in Geoffrey Chaucer’s "The Canterbury Tales" who proposes and oversees the storytelling contest among the pilgrims.
  • D. The Host
    The Host is a character in the action-strategy game Minecraft Legends who guides and assists the player as they defend the Overworld from invading Piglins.
  • E. The Host
    The Host is a character appearing in Matthew Barney’s experimental art film "Drawing Restraint 9," contributing to its surreal, ritualistic narrative set aboard a Japanese whaling vessel.
  • 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_69e11e2f98c8819083e11eab90942a78 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127edd5b48190a9aeb2840105c181 completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:24 p.m.