Triple

T13826067
Position Surface form Disambiguated ID Type / Status
Subject Marlene Lawston E332250 entity
Predicate coStarredWith P14987 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: [Marlene Lawston, coStarredWith, Len Cariou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Len Cariou
Context triple: [Marlene Lawston, coStarredWith, 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0295d2d48190b08eba0d805bd72d completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8e85c6c81908bdf5d43b917d151 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:13 p.m.