Triple

T16586232
Position Surface form Disambiguated ID Type / Status
Subject Han Jin-won E402963 entity
Predicate knownFor P22 FINISHED
Object Parasite E84979 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: Parasite | Statement: [Han Jin-won, knownFor, Parasite]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parasite
Context triple: [Han Jin-won, knownFor, Parasite]
  • A. Parasite chosen
    Parasite is a critically acclaimed 2019 South Korean dark comedy thriller film directed by Bong Joon-ho that explores class inequality through a gripping and genre-bending narrative.
  • B. Parasite
    Parasite is a DC Comics supervillain known for draining the life force and powers of others, often serving as a formidable enemy of Superman.
  • C. Parasite
    Parasite is a science fiction novel by Mira Grant that explores a near-future world transformed by genetically engineered tapeworms designed to keep humans perpetually healthy.
  • D. Le Parasite
    Le Parasite is a philosophical work by Michel Serres that explores how noise, interference, and parasitic relationships structure communication, social systems, and knowledge.
  • E. The Parasite
    The Parasite is a science fiction story by Arthur C. Clarke, featured as one of the pieces in his collection "The Other Side of the Sky."
  • 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3599cbc448190bc80eef4ad58eb41 completed April 18, 2026, 10:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0084b077f481909796b5b60f501239 completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:16 a.m.