Triple

T11880150
Position Surface form Disambiguated ID Type / Status
Subject Applause (musical) E282636 entity
Predicate starred P5563 FINISHED
Object Len Cariou E373019 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: Len Cariou | Statement: [Applause (musical), starred, Len Cariou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Len Cariou
Context triple: [Applause (musical), starred, Len Cariou]
  • A. Len Cariou chosen
    Len Cariou is a Canadian actor and Tony Award–winning stage performer best known for originating the title role in the musical "Sweeney Todd" and for his work in film and television, including the series "Blue Bloods."
  • B. Phil Méheux
    Phil Méheux is a British cinematographer known for his work on major films including James Bond entries like "GoldenEye" and "Casino Royale."
  • C. André Malan
    André Malan is a South African-born cricketer known for playing as a top-order batsman in domestic competitions.
  • D. Juan Laporte
    Juan Laporte is a former Puerto Rican professional boxer and WBC featherweight champion known for his toughness and for facing many of the top fighters of his era.
  • E. David Madel
    David Madel is a British Conservative politician who served as a Member of Parliament from the 1970s until the late 1990s.
  • 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8be1cad5c8190a45dfb0f0cc2a512 completed April 10, 2026, 9:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f281e6f8888190bc8495b1261a86df completed April 29, 2026, 10:10 p.m.
Created at: April 8, 2026, 9:44 p.m.