Triple

T9819225
Position Surface form Disambiguated ID Type / Status
Subject Debbie Berman E238484 entity
Predicate hasWorkedWith P9615 FINISHED
Object Anna Boden E664449 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: Anna Boden | Statement: [Debbie Berman, hasWorkedWith, Anna Boden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Boden
Context triple: [Debbie Berman, hasWorkedWith, 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. Anna Kaufman
    Anna Kaufman is the daughter of acclaimed American screenwriter and director Charlie Kaufman.
  • C. Leslie Dixon
    Leslie Dixon is an American screenwriter and producer known for writing popular films such as "Mrs. Doubtfire," "Freaky Friday," and "Hairspray."
  • D. Robin Swicord
    Robin Swicord is an American screenwriter and director known for her literary adaptations, including films such as Little Women (1994), Memoirs of a Geisha, and The Curious Case of Benjamin Button.
  • E. Leslye Headland
    Leslye Headland is an American playwright, screenwriter, and director best known for co-creating the Netflix series "Russian Doll" and for her sharp, darkly comedic storytelling.
  • 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_69ca84dfde1481909f47c286d715f892 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb2f74e348190be8e4394ae6fe3fe completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc74de14819083299a549f04b2b1 completed April 5, 2026, 2:44 a.m.
Created at: March 30, 2026, 8:31 p.m.