Triple

T21384196
Position Surface form Disambiguated ID Type / Status
Subject Julius Levinson E527446 entity
Predicate createdBy P806 FINISHED
Object Dean Devlin 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: Dean Devlin | Statement: [Julius Levinson, createdBy, Dean Devlin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dean Devlin
Context triple: [Julius Levinson, createdBy, Dean Devlin]
  • A. Dean Devlin chosen
    Dean Devlin is an American film and television producer, writer, and director best known for his work on science fiction and action projects such as "Independence Day," "Stargate," and various genre TV series.
  • B. Richard Creedon
    Richard Creedon was a screenwriter best known for his work on Disney’s landmark animated feature film "Snow White and the Seven Dwarfs."
  • C. Jeffrey Bell
    Jeffrey Bell is an American television writer and producer known for his work on genre series such as Angel, Alias, and Marvel's Agents of S.H.I.E.L.D.
  • D. Brian Shanley
    Brian Shanley is a cinematographer best known for his work on the 2009 film adaptation of "The Velveteen Rabbit."
  • E. Steven DeRose
    Steven DeRose is a computer scientist and linguist known for his influential work in digital text encoding and markup languages, particularly in the development and standardization of XML-related technologies.
  • 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_69e0b51f363c8190944000ab5523b02b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0f164d08190a7df85451c082f53 completed April 22, 2026, 11:28 a.m.
Created at: April 16, 2026, 5:12 p.m.