Triple

T22433579
Position Surface form Disambiguated ID Type / Status
Subject Oblivion E554557 entity
Predicate producer P490 FINISHED
Object Dylan Clark 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: Dylan Clark | Statement: [Oblivion, producer, Dylan Clark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dylan Clark
Context triple: [Oblivion, producer, Dylan Clark]
  • A. Dylan Clark chosen
    Dylan Clark is a film producer known for his work on major Hollywood projects including "The Mountain Between Us" and the "Planet of the Apes" reboot series.
  • B. Dylan Taylor
    Dylan Taylor is a Canadian actor known for his work in film and television, including roles in projects like the teen comedy-drama "Charlie Bartlett."
  • C. Dylan Piper
    Dylan Piper is a cautious, bookish member of the Cromwell family in the Disney Channel "Halloweentown" film series, known for gradually embracing his magical heritage.
  • D. Dylan Marshall
    Dylan Marshall is a recurring character on the television series "Modern Family," known as Haley Dunphy’s on-and-off boyfriend who later becomes her husband.
  • E. Dylan Brock
    Dylan Brock is a notable alumnus of Cartersville High School, recognized for his achievements that brought distinction to the school community.
  • 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_69e11e5010e48190ae1e9c9db9697637 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15adce9688190992ad0ca15883931 completed April 29, 2026, 1:11 a.m.
Created at: April 16, 2026, 8:47 p.m.