Triple

T1978441
Position Surface form Disambiguated ID Type / Status
Subject Luis Buñuel E42968 entity
Predicate influenced P9 FINISHED
Object David Lynch E196821 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: David Lynch | Statement: [Luis Buñuel, influenced, David Lynch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Lynch
Context triple: [Luis Buñuel, influenced, David Lynch]
  • A. David Lynch chosen
    David Lynch is an American filmmaker, artist, and musician renowned for his surreal, dreamlike storytelling and influential works such as "Eraserhead," "Blue Velvet," and the television series "Twin Peaks."
  • B. Terrence Malick
    Terrence Malick is an American filmmaker renowned for his visually poetic, philosophical films that often explore nature, memory, and spirituality.
  • C. Paul Schrader
    Paul Schrader is an American filmmaker and screenwriter known for his intense, psychologically driven dramas and frequent collaborations with director Martin Scorsese.
  • D. David Cronenberg
    David Cronenberg is a Canadian filmmaker renowned for his influential body horror and psychological thriller films, such as "The Fly," "Videodrome," and "Crash."
  • E. Gus Van Sant
    Gus Van Sant is an American filmmaker known for his distinctive independent cinema style and acclaimed films such as "Good Will Hunting," "Milk," and "My Own Private Idaho."
  • 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_69a8871289048190b00b0d7744b7b2b1 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb43011188190b6a41c004e9e4802 completed March 7, 2026, 5:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae032988ec8190b9012cbb77e7efa4 completed March 8, 2026, 11:15 p.m.
Created at: March 4, 2026, 7:36 p.m.