Triple

T8211528
Position Surface form Disambiguated ID Type / Status
Subject E.P. Ripley E191826 entity
Predicate hasDesigner P184 FINISHED
Object Roger E. Broggie E158444 NE FINISHED

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: Roger E. Broggie | Statement: [E.P. Ripley, hasDesigner, Roger E. Broggie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roger E. Broggie
Context triple: [E.P. Ripley, hasDesigner, Roger E. Broggie]
  • A. Roger E. Broggie chosen
    Roger E. Broggie is a steam locomotive at Walt Disney World Railroad named in honor of Disney Imagineer and master machinist Roger E. Broggie, who was instrumental in developing Disney’s early railroad and ride systems.
  • B. Roger D. Lapham
    Roger D. Lapham was an American shipping executive and politician who served as mayor of San Francisco in the 1940s.
  • C. Gerald R. Molen
    Gerald R. Molen is an American film producer best known for his collaborations with Steven Spielberg on major films such as "Schindler’s List" and "Jurassic Park."
  • D. Fred Luddy
    Fred Luddy is an American entrepreneur and software executive best known as the founder of the cloud-based enterprise software company ServiceNow.
  • E. George L. Dahl
    George L. Dahl was a prominent 20th-century American architect known for shaping much of Dallas’s skyline and major civic landmarks.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82c8c054819087fedd9a5436b8a3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb76dec42c819090252fe186a68d34 completed March 31, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69cebb26dd048190bd7e4de4ae986b32 completed April 2, 2026, 6:53 p.m.
Created at: March 30, 2026, 5:44 p.m.