Triple

T10738047
Position Surface form Disambiguated ID Type / Status
Subject Working Girl E253246 entity
Predicate castMember P1668 FINISHED
Object Philip Bosco E821509 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: Philip Bosco | Statement: [Working Girl, castMember, Philip Bosco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philip Bosco
Context triple: [Working Girl, castMember, Philip Bosco]
  • A. Philip Bosco chosen
    Philip Bosco was an American character actor known for his distinguished stage career on Broadway and supporting roles in numerous films and television shows.
  • B. Peter Faber
    Peter Faber was a 16th-century French priest and theologian who, alongside Ignatius of Loyola and Francis Xavier, was one of the original founders of the Jesuit order.
  • C. Jules Ostin
    Jules Ostin is the driven, overworked founder and CEO of an online fashion startup portrayed by Anne Hathaway in the film "The Intern."
  • D. Albert Boni
    Albert Boni was an American publisher best known as the co-founder of the influential early 20th-century publishing house Boni & Liveright.
  • E. Robert Salerno
    Robert Salerno is an American film producer known for his work on acclaimed independent films, including collaborations with directors like Tom Ford and Jim Jarmusch.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d710410a04819090036597ac0d271c completed April 9, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69de22dce1cc8190a3511d86e8bd6d3e completed April 14, 2026, 11:19 a.m.
Created at: April 8, 2026, 9:14 p.m.