Triple

T22952809
Position Surface form Disambiguated ID Type / Status
Subject George Maharis E570066 entity
Predicate role P268 FINISHED
Object Buz Murdock 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: Buz Murdock | Statement: [George Maharis, role, Buz Murdock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buz Murdock
Context triple: [George Maharis, role, Buz Murdock]
  • A. Buz Murdock chosen
    Buz Murdock is a main character from the classic 1960s American television series "Route 66," known as the streetwise, working-class companion to Tod Stiles on their cross-country travels.
  • B. Fats Murdock
    Fats Murdock is a fictional gangster and music promoter who plays a central role in the 1956 rock-and-roll comedy film "The Girl Can’t Help It."
  • C. Sidney Luttrell
    Sidney Luttrell was an architect known for his work on prominent early 20th-century buildings, including major theatre designs in Australasia.
  • D. Lieutenant Mitch Kellaway
    Lieutenant Mitch Kellaway is a hard-nosed, skeptical police detective who relentlessly pursues the mysterious vigilante created by the magical mask in "The Mask" franchise.
  • E. Vaughn McKoy
    Vaughn McKoy is a television producer best known for his executive production work on the science-fiction drama series "FlashForward."
  • 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_69e2459199d08190a8184ee2aa935842 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181a34c30819099ff4812500a0991 completed April 29, 2026, 3:57 a.m.
Created at: April 17, 2026, 3:46 p.m.