Triple

T15393089
Position Surface form Disambiguated ID Type / Status
Subject FX2 E368097 entity
Predicate stars P1956 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: [FX2, stars, Philip Bosco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philip Bosco
Context triple: [FX2, stars, 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. Henri Bosco
    Henri Bosco was a 20th-century French novelist and poet known for his evocative, mystical depictions of rural Provence and its landscapes.
  • C. 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.
  • D. Louis Borno
    Louis Borno was a Haitian politician and lawyer who served as President of Haiti in the early 20th century, overseeing a period marked by U.S. occupation and significant political centralization.
  • E. 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."
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e7838b48190862b43c6c8620692 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1350699c8190acf7830d88455851 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:19 a.m.