Triple

T21448980
Position Surface form Disambiguated ID Type / Status
Subject Gran Torino E529155 entity
Predicate screenwriter P2831 FINISHED
Object Nick Schenk 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: Nick Schenk | Statement: [Gran Torino, screenwriter, Nick Schenk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nick Schenk
Context triple: [Gran Torino, screenwriter, Nick Schenk]
  • A. Nick Schenk chosen
    Nick Schenk is an American screenwriter best known for writing the Clint Eastwood film "Gran Torino."
  • B. Jon Schneck
    Jon Schneck is an American guitarist and multi-instrumentalist best known for his work with the Christian rock band Relient K.
  • C. Jack Schroer
    Jack Schroer was an American saxophonist best known for his work with Van Morrison, particularly on the classic album "Moondance."
  • D. Dick Schoof
    Dick Schoof is a Dutch civil servant and politician who has served as Prime Minister of the Netherlands.
  • E. Alan Schilke
    Alan Schilke is a prominent roller coaster engineer known for designing innovative and extreme thrill rides for major amusement parks worldwide.
  • 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_69e0c457579481909db68053ed99750c completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9d11ca48190aafe25c97dfa5578 completed April 23, 2026, 9:43 a.m.
Created at: April 16, 2026, 6:06 p.m.