Triple

T20971403
Position Surface form Disambiguated ID Type / Status
Subject Superman/Batman: Apocalypse E516507 entity
Predicate writer P1360 FINISHED
Object Tab Murphy 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: Tab Murphy | Statement: [Superman/Batman: Apocalypse, writer, Tab Murphy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tab Murphy
Context triple: [Superman/Batman: Apocalypse, writer, Tab Murphy]
  • A. Tab Murphy chosen
    Tab Murphy is an American screenwriter and director best known for his work on animated and adventure films, including several projects for Walt Disney Feature Animation.
  • B. Kim Murphy
    Kim Murphy is an actress known for her role in the teen drama film "The In Crowd."
  • C. Berry Murphy
    Berry Murphy is the child of Irish actor Aidan Gillen, known for his roles in series like "Game of Thrones" and "The Wire."
  • D. Steven Murphy
    Steven Murphy is a successful heart surgeon whose seemingly perfect family life unravels into psychological horror in the film "The Killing of a Sacred Deer."
  • E. Leigh Curran
    Leigh Curran is an American actress and writer known for her work in theater, film, and television, as well as for founding the nonprofit theater company The Virginia Avenue Project.
  • 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_69e0b4fee5ac8190875fa9ceba1a5e5e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fba027708190a49e95b0031d980d completed April 21, 2026, 4:22 a.m.
Created at: April 16, 2026, 1:43 p.m.