Triple

T16331335
Position Surface form Disambiguated ID Type / Status
Subject Crashing Towers E396559 entity
Predicate featuresActor P15562 FINISHED
Object Bud Geary E415667 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: Bud Geary | Statement: [Crashing Towers, featuresActor, Bud Geary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bud Geary
Context triple: [Crashing Towers, featuresActor, Bud Geary]
  • A. Bud Geary chosen
    Bud Geary was an American character actor best known for his numerous supporting roles in Westerns and serials during the 1930s and 1940s.
  • B. Earl Moran
    Earl Moran was an American pin-up and glamour artist best known for his popular mid-20th-century illustrations, including early depictions of Marilyn Monroe.
  • C. Bud Osborne
    Bud Osborne was an American character actor and prolific stuntman best known for his appearances in numerous Western films and serials during the early to mid-20th century.
  • D. Fred Gurley
    Fred Gurley is a historic steam locomotive operating on the Disneyland Railroad, known for transporting guests around Disneyland Park.
  • E. Narvel Felts
    Narvel Felts is an American country music singer known for his smooth vocal style and a string of hits in the 1970s, including his popular cover of "Funny How Time Slips Away."
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2c4dfd9688190a749e48ebc055baf completed April 17, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c28f43988190aa06da8c356b9646 completed May 10, 2026, 5:38 p.m.
Created at: April 10, 2026, 5:07 a.m.