Triple

T10811981
Position Surface form Disambiguated ID Type / Status
Subject Two Tickets to London E255124 entity
Predicate screenwriter P2831 FINISHED
Object Michael Hogan E190477 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: Michael Hogan | Statement: [Two Tickets to London, screenwriter, Michael Hogan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Hogan
Context triple: [Two Tickets to London, screenwriter, Michael Hogan]
  • A. Michael Hogan chosen
    Michael Hogan was a screenwriter known for his work on classic Hollywood films, including contributing to the script of Alfred Hitchcock’s 1940 adaptation of "Rebecca."
  • B. Mark McGann
    Mark McGann is an English actor and director known for his work in television, film, and theatre, and as one of the four acting McGann brothers.
  • C. Brian Moynahan
    Brian Moynahan is a British journalist, historian, and author known for his works on Russian and European history.
  • D. Tim Murphy
    Tim Murphy is the dinosaur-obsessed grandson of John Hammond who becomes one of the central child protagonists surviving the chaos in the original Jurassic Park film.
  • E. Patrick Eagan
    Patrick Eagan was an early Irish immigrant settler and local political figure after whom the city of Eagan, Minnesota, is named.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733eadda48190b2b1183ee60102cb completed April 9, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69de853692f08190914cbeaf1a558730 completed April 14, 2026, 6:19 p.m.
Created at: April 8, 2026, 9:18 p.m.