Triple

T22494531
Position Surface form Disambiguated ID Type / Status
Subject The National Parks: America’s Best Idea E556103 entity
Predicate writer P1360 FINISHED
Object Dayton Duncan 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: Dayton Duncan | Statement: [The National Parks: America’s Best Idea, writer, Dayton Duncan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dayton Duncan
Context triple: [The National Parks: America’s Best Idea, writer, Dayton Duncan]
  • A. Dayton Duncan chosen
    Dayton Duncan is an American writer, documentary filmmaker, and longtime collaborator of Ken Burns known for scripting and producing acclaimed historical documentaries.
  • B. Gary McKendry
    Gary McKendry is an Irish film director and screenwriter best known for helming the action thriller "Killer Elite" starring Jason Statham, Clive Owen, and Robert De Niro.
  • C. Denny Bowen
    Denny Bowen is a musician best known as a member of the Baltimore noise rock band Roomrunner.
  • D. Joe Renzetti
    Joe Renzetti is an American composer best known for his film scores, particularly in the horror genre.
  • E. Michael Kidd
    Michael Kidd was an acclaimed American choreographer and director renowned for his dynamic, character-driven dance work in Broadway musicals and Hollywood films.
  • 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_69e11e5445bc8190b6a9481926db3355 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15cb0dfb88190a4175e5e95d7ad4b completed April 29, 2026, 1:19 a.m.
Created at: April 16, 2026, 8:49 p.m.