Triple

T14959350
Position Surface form Disambiguated ID Type / Status
Subject Len Cariou E373019 entity
Predicate name P16 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: [Len Cariou, name, Len Cariou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Len Cariou
Context triple: [Len Cariou, name, 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. Anthony Pelissier
    Anthony Pelissier was a British actor, screenwriter, and film director known for his work in mid-20th-century British cinema, including contributions to Ealing Studios.
  • E. 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.
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6cd85bc81909040b7ff78f62554 completed April 15, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7ea1d78c81909b877fda05ef9231 completed May 9, 2026, 12:24 a.m.
Created at: April 10, 2026, 2:40 a.m.