Triple

T22102983
Position Surface form Disambiguated ID Type / Status
Subject Daddy (1989 film) E546214 entity
Predicate hasTitle P38 FINISHED
Object Daddy 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: Daddy | Statement: [Daddy (1989 film), hasTitle, Daddy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daddy
Context triple: [Daddy (1989 film), hasTitle, Daddy]
  • A. Daddy chosen
    "Daddy" is a critically acclaimed 1989 Indian drama film featuring Anupam Kher in one of his most celebrated roles, portraying an alcoholic father seeking redemption and reconciliation with his daughter.
  • B. Daddy
    "Daddy" is a song featured on the album *Wanderland* by American singer-songwriter Kelis.
  • C. Daddy
    "Daddy" is a popular jazz and pop standard from the early 1940s, best known through recordings by artists like Sammy Kaye and Julie London.
  • D. Daddy
    "Daddy" is a 2015 K-pop single by South Korean singer Psy, known for its quirky humor, high-energy beat, and eccentric music video.
  • E. Daddy
    Daddy is a central comedic character in the classic radio series "Baby Snooks," serving as the often-exasperated father and foil to the mischievous child protagonist.
  • 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129175a7881909549883f23c53dca completed April 28, 2026, 9:39 p.m.
Created at: April 16, 2026, 8:30 p.m.