Triple

T22014564
Position Surface form Disambiguated ID Type / Status
Subject Fanny and Elvis E543673 entity
Predicate castMember P1668 FINISHED
Object Gerard Horan 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: Gerard Horan | Statement: [Fanny and Elvis, castMember, Gerard Horan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gerard Horan
Context triple: [Fanny and Elvis, castMember, Gerard Horan]
  • A. Gerard Horan chosen
    Gerard Horan is a British actor known for his work in television, film, and theatre, often appearing in UK dramas and comedies.
  • B. James Horan
    James Horan is an American actor and voice actor known for his work in television, film, and video games, often portraying intense or villainous characters.
  • C. Gerard Nolan
    Gerard "Jerry" Nolan was an American rock drummer best known for his work with the New York Dolls and The Heartbreakers in the 1970s punk scene.
  • D. Jack Halloran
    Jack Halloran is an actor best known for his role in the film "The Perfect Wave."
  • E. Gerard McSorley
    Gerard McSorley is an Irish actor known for his work in film, television, and theatre, often portraying intense or authoritative characters.
  • 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_69e11e2db934819095556760c7d85e4d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127a6bf6081909865781ea7937a1b completed April 28, 2026, 9:33 p.m.
Created at: April 16, 2026, 8:22 p.m.