Triple

T18035003
Position Surface form Disambiguated ID Type / Status
Subject Dalek travel machine E431484 entity
Predicate designedByRealWorld P184 FINISHED
Object Raymond Cusick 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: Raymond Cusick | Statement: [Dalek travel machine, designedByRealWorld, Raymond Cusick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raymond Cusick
Context triple: [Dalek travel machine, designedByRealWorld, Raymond Cusick]
  • A. Raymond McEnhill
    Raymond McEnhill was a key figure associated with Salisbury City Football Club, after whom the club’s home ground, Ray Mac Stadium, was named.
  • B. Ralph Meeker
    Ralph Meeker was an American actor best known for his tough-guy roles in film noir and drama during the 1950s and 1960s.
  • C. Ray Cusick chosen
    Ray Cusick was a British designer best known for creating the iconic look of the Daleks in the long-running science fiction television series Doctor Who.
  • D. George Ratterman
    George Ratterman was an American professional football quarterback who later became a prominent sports broadcaster and attorney.
  • E. John Pardue
    John Pardue is a cinematographer known for his work on film and television projects, including the 2012 television film "The Girl."
  • 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_69d8b9050fb48190890155145deb0a66 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4be39a7348190a75735fe56c78fc3 completed April 19, 2026, 11:36 a.m.
Created at: April 10, 2026, 10:25 a.m.