Triple

T19028623
Position Surface form Disambiguated ID Type / Status
Subject Judoon E465674 entity
Predicate costumeDesigner P184 FINISHED
Object Neal Gorton 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: Neal Gorton | Statement: [Judoon, costumeDesigner, Neal Gorton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neal Gorton
Context triple: [Judoon, costumeDesigner, Neal Gorton]
  • A. Neal Gorton chosen
    Neal Gorton is a British prosthetics and special effects makeup artist best known for his work on the revived Doctor Who series and other genre television and film projects.
  • B. Douglas Gresham
    Douglas Gresham is a British-American author, film producer, and stepson of C. S. Lewis, known for his work on adaptations of "The Chronicles of Narnia."
  • C. Craig Ellwood
    Craig Ellwood was a prominent mid-20th-century American modernist architect known for his elegant steel-and-glass designs and influential contributions to Southern California architecture.
  • D. Gordon Wiles
    Gordon Wiles was an American film director and art director known for his work on early 20th-century crime and genre films.
  • E. Robert Gaskins
    Robert Gaskins is a software entrepreneur best known as the co-creator of Microsoft PowerPoint and a key figure in the early development of presentation software.
  • 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_69d8dd0359648190bc2a9202c5cf29d2 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d73ec9088190a98e214bd56e8622 completed April 20, 2026, 7:35 a.m.
Created at: April 10, 2026, 12:02 p.m.