Triple

T12340274
Position Surface form Disambiguated ID Type / Status
Subject Wayward Pines E294203 entity
Predicate executiveProducer P7225 FINISHED
Object Donald De Line E252598 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: Donald De Line | Statement: [Wayward Pines, executiveProducer, Donald De Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donald De Line
Context triple: [Wayward Pines, executiveProducer, Donald De Line]
  • A. Donald De Line chosen
    Donald De Line is an American film producer known for overseeing major Hollywood projects including the 2003 heist film "The Italian Job."
  • B. Vic Nardozza
    Vic Nardozza is the bumbling private investigator portrayed by Michael Richards in the short-lived NBC sitcom "The Michael Richards Show."
  • C. Frank Klingebiel
    Frank Klingebiel is a German local politician who serves as the long-time mayor of the city of Salzgitter in Lower Saxony.
  • D. Vic Raschi
    Vic Raschi was a dominant right-handed pitcher for the New York Yankees in the 1940s and 1950s, known as one of the "Big Three" starters who helped lead the team to multiple World Series titles.
  • E. George DiCenzo
    George DiCenzo was an American character actor known for his work in film, television, and voice acting, including roles in projects like "Back to the Future" and numerous animated series.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f7758dc8190bbc6a9ad00b01dce completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62aa7e33c819084e5673a5fb8cac7 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:53 p.m.