Triple

T8969484
Position Surface form Disambiguated ID Type / Status
Subject Marianne Beauséjour E214226 entity
Predicate spouseInStory P30304 FINISHED
Object Max Vatan E187120 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: Max Vatan | Statement: [Marianne Beauséjour, spouseInStory, Max Vatan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Max Vatan
Context triple: [Marianne Beauséjour, spouseInStory, Max Vatan]
  • A. Max Vatan chosen
    Max Vatan is a skilled Canadian intelligence officer and pilot portrayed by Brad Pitt in the World War II romantic thriller film "Allied."
  • B. Alex Veadov
    Alex Veadov is a Ukrainian-American actor known for his supporting roles in crime dramas and action films, including appearances in movies like "We Own the Night" and "Act of Valor."
  • C. Victor Stolan
    Victor Stolan was a key early initiator and co-founder of the World Wildlife Fund, helping to launch what became one of the world’s leading conservation organizations.
  • D. Alex Vogel
    Alex Vogel is a professional associated with Rick Martinez, likely working alongside him in a shared field or organization.
  • E. Max Zaritsky
    Max Zaritsky was an American labor leader and union organizer who played a key role in the early development of industrial unionism in the United States.
  • 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_69ca839dbf608190a2f5990477115d29 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6765babc8190a4a3b79aa21047c8 completed April 1, 2026, 12:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc96006e48190978e4ccdedc48b41 completed April 3, 2026, 2:06 p.m.
Created at: March 30, 2026, 7:01 p.m.