Triple

T17127409
Position Surface form Disambiguated ID Type / Status
Subject Jang Hye-jin E415632 entity
Predicate participatedIn P149 FINISHED
Object Parasite 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: Parasite | Statement: [Jang Hye-jin, participatedIn, Parasite]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parasite
Context triple: [Jang Hye-jin, participatedIn, 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 science fiction novel by Mira Grant that explores a near-future world transformed by genetically engineered tapeworms designed to keep humans perpetually healthy.
  • C. 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.
  • 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 (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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f027a3d081908fc1134b50db3d45 completed April 18, 2026, 8:57 p.m.
Created at: April 10, 2026, 5:36 a.m.