Triple

T4977281
Position Surface form Disambiguated ID Type / Status
Subject Hwang Dong-hyuk E111798 entity
Predicate directed P7373 FINISHED
Object Miss Granny E485578 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: Miss Granny | Statement: [Hwang Dong-hyuk, directed, Miss Granny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miss Granny
Context triple: [Hwang Dong-hyuk, directed, Miss Granny]
  • A. Miss Granny chosen
    Miss Granny is a popular South Korean comedy-drama film about an elderly woman who mysteriously regains her youthful appearance, leading to humorous and heartfelt consequences.
  • B. Granny
    Granny is a recurring elderly character in the Looney Tunes cartoons, best known as the kindly but sharp-witted owner of Tweety Bird (and often Sylvester’s exasperated caretaker).
  • C. Grandmama
    Grandmama is the eccentric, witch-like matriarch of the Addams family, known for her dark humor, odd potions, and macabre charm.
  • D. Miss Ruth
    Miss Ruth is the stage name of Ruth St. Denis, a pioneering American modern dance innovator and co-founder of the Denishawn School.
  • E. Old Woman
    Old Woman is a minor character in James Baldwin’s play "The Amen Corner," representing the older, devout members of the Harlem church community.
  • 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_69bd441adc208190b70a033a0741d01e completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7231448c8190a5d0a5135a9cfdf1 completed March 20, 2026, 4:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be924befc08190a077adca99fb4b86 completed March 21, 2026, 12:42 p.m.
Created at: March 20, 2026, 1:33 p.m.