Triple

T252141
Position Surface form Disambiguated ID Type / Status
Subject Naomi Klein E5170 entity
Predicate collaboratedWith P435 FINISHED
Object Avi Lewis E44018 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: Avi Lewis | Statement: [Naomi Klein, collaboratedWith, Avi Lewis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avi Lewis
Context triple: [Naomi Klein, collaboratedWith, Avi Lewis]
  • A. Avi Lewis chosen
    Avi Lewis is a Canadian documentary filmmaker, television journalist, and political activist known for his work on social justice and environmental issues.
  • B. Dylan Highsmith
    Dylan Highsmith is a film editor best known for his work on major action and science-fiction movies, including Pacific Rim: Uprising.
  • C. Brian VanDeMark
    Brian VanDeMark is an American historian and author known for his work on U.S. foreign policy and the Vietnam War, including coauthoring influential studies of that conflict.
  • D. Mitchell Leisen
    Mitchell Leisen was an American film director, art director, and costume designer known for his stylish Hollywood productions from the 1930s and 1940s.
  • E. Jeremy Jacobs
    Jeremy Jacobs is an American billionaire businessman and longtime owner of the NHL’s Boston Bruins, known for his influential role in professional hockey and sports venue management.
  • 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_69a257c4bf688190a46ebbf411ab7473 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25d39eb3881909f435043c8697f13 completed Feb. 28, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3dd2a946881909c7a53f3c712e0e3 completed March 1, 2026, 6:31 a.m.
Created at: Feb. 28, 2026, 2:54 a.m.