Triple

T1763336
Position Surface form Disambiguated ID Type / Status
Subject Laura Dern E38705 entity
Predicate collaboratedWith P435 FINISHED
Object Noah Baumbach E127942 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: Noah Baumbach | Statement: [Laura Dern, collaboratedWith, Noah Baumbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noah Baumbach
Context triple: [Laura Dern, collaboratedWith, Noah Baumbach]
  • A. Noah Baumbach chosen
    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."
  • B. Alexander Payne
    Alexander Payne is an American film director and screenwriter known for his character-driven, satirical dramas such as "Sideways," "The Descendants," and "Nebraska."
  • C. Rebecca Miller
    Rebecca Miller is an American filmmaker, screenwriter, and novelist known for works such as "Personal Velocity" and "The Private Lives of Pippa Lee."
  • D. Gregory Mottola
    Gregory Mottola is an American film director and screenwriter best known for directing the comedy films "Superbad" and "Adventureland."
  • E. Dan Goor
    Dan Goor is an American television writer and producer best known for co-creating the comedy series "Brooklyn Nine-Nine" and his work on shows like "Parks and Recreation."
  • 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_69a8862d562481908d7025a1c1f67c0d completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa6465245c8190b1ee84628c62c529 completed March 6, 2026, 5:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0f12fd8819099759ebcdfc19494 completed March 8, 2026, 4:16 p.m.
Created at: March 4, 2026, 7:31 p.m.