Triple

T20590327
Position Surface form Disambiguated ID Type / Status
Subject Figment the dragon E505903 entity
Predicate creator P184 FINISHED
Object Joe Rohde 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: Joe Rohde | Statement: [Figment the dragon, creator, Joe Rohde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Rohde
Context triple: [Figment the dragon, creator, Joe Rohde]
  • A. Joe Rohde chosen
    Joe Rohde is an American creative executive and former Walt Disney Imagineer best known for leading the design of Disney’s Animal Kingdom and other highly themed, story-driven attractions.
  • B. Steve Roehm
    Steve Roehm is an American vibraphonist and percussionist best known for his work with the Minneapolis-based supergroup Gayngs and various jazz and experimental music projects.
  • C. Steve Ehrhart
    Steve Ehrhart is a member of the visual effects company Trixter, contributing to its film and media production work.
  • D. Steve Kragthorpe
    Steve Kragthorpe is an American football coach best known for revitalizing the University of Tulsa’s football program in the early 2000s and later serving as head coach at the University of Louisville.
  • E. Jon Jerde
    Jon Jerde was an influential American architect and urban designer known for his experiential, entertainment-focused commercial complexes and innovative approach to public space.
  • 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_69e0b4b9669c8190b8e81fc72817d42c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a97aaf1c81908006ae7447f1f503 completed April 20, 2026, 10:32 p.m.
Created at: April 16, 2026, 11:40 a.m.