Triple

T19896005
Position Surface form Disambiguated ID Type / Status
Subject Billion Dollar Brain E478153 entity
Predicate editedBy P1954 FINISHED
Object Alan Osbiston 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: Alan Osbiston | Statement: [Billion Dollar Brain, editedBy, Alan Osbiston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alan Osbiston
Context triple: [Billion Dollar Brain, editedBy, Alan Osbiston]
  • A. Alan Osbiston chosen
    Alan Osbiston was a British film editor known for his work on notable mid-20th-century films, including major war and drama productions.
  • B. Phil Cunningham
    Phil Cunningham is an English guitarist and keyboardist best known for his work with the band New Order and previously with Marion.
  • C. Michael Kelso
    Michael Kelso is a dim-witted yet charming and good-looking teenager portrayed by Ashton Kutcher on the sitcom "That '70s Show."
  • D. Jim Osborne
    Jim Osborne is an American sculptor best known for creating the iconic Screen Actors Guild (SAG) Award statuette.
  • E. Jim Osborne
    Jim Osborne is the protagonist of the 1952 film noir thriller "The Steel Trap," a bank employee who devises a plan to steal money and flee the country, only to be tormented by guilt and second thoughts.
  • 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6593cb45881909cc34a9c601db001 completed April 20, 2026, 4:50 p.m.
Created at: April 10, 2026, 1:52 p.m.