Triple

T23368785
Position Surface form Disambiguated ID Type / Status
Subject Rohmer Emmanuel Baumbach E593400 entity
Predicate familyName P18 FINISHED
Object Baumbach 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: Baumbach | Statement: [Rohmer Emmanuel Baumbach, familyName, Baumbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baumbach
Context triple: [Rohmer Emmanuel Baumbach, familyName, Baumbach]
  • A. Jonathan Baumbach
    Jonathan Baumbach was an American novelist, short story writer, and film critic associated with postmodern literature and the independent film community.
  • B. Rohmer Emmanuel Baumbach chosen
    Rohmer Emmanuel Baumbach is the son of American filmmaker Noah Baumbach and actress Greta Gerwig.
  • C. Noah Baumbach
    Noah Baumbach is an American filmmaker and screenwriter known for his sharply observed, character-driven dramas and comedies such as "The Squid and the Whale," "Frances Ha," and "Marriage Story."
  • D. Maude Apatow
    Maude Apatow is an American actress known for her roles in film and television, including her breakout performance as Lexi Howard in the HBO series "Euphoria."
  • E. Bennett Miller
    Bennett Miller is an American film director known for his critically acclaimed, character-driven dramas such as "Capote," "Moneyball," and "Foxcatcher."
  • 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_69e25d2593c88190bcdf4a716a94ccb2 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a0aed374819097d38f51894bee44 completed April 29, 2026, 6:09 a.m.
Created at: April 17, 2026, 5:32 p.m.