Triple

T21165446
Position Surface form Disambiguated ID Type / Status
Subject Evelyn O'Neill E521547 entity
Predicate collaboratedWith P435 FINISHED
Object Anna Boden NE NERFINISHED

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: Anna Boden | Statement: [Evelyn O'Neill, collaboratedWith, Anna Boden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Boden
Context triple: [Evelyn O'Neill, collaboratedWith, Anna Boden]
  • A. Anna Boden chosen
    Anna Boden is an American filmmaker best known for co-directing the Marvel Studios superhero film "Captain Marvel" and for her long-time creative partnership with Ryan Fleck on independent dramas.
  • B. Maia Mazzara
    Maia Mazzara is a French figure skater who has represented France in major international competitions, including the European Figure Skating Championships.
  • C. Amy Jenkins
    Amy Jenkins is a British screenwriter and novelist best known for her work on the acclaimed BBC drama series "This Life."
  • D. Charlotte Wells
    Charlotte Wells is a central courtesan character in the British period drama series "Harlots," known for navigating the power struggles and personal conflicts within 18th-century London's sex trade.
  • E. Anna Kaufman
    Anna Kaufman is the daughter of acclaimed American screenwriter and director Charlie Kaufman.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50e30748190b186824a206d39b9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7270efe3081908a50fc601c2f958c completed April 21, 2026, 7:28 a.m.
Created at: April 16, 2026, 2:59 p.m.