Triple

T21229339
Position Surface form Disambiguated ID Type / Status
Subject Scouts Guide to the Zombie Apocalypse E523163 entity
Predicate editedBy P1954 FINISHED
Object Jim Page 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: Jim Page | Statement: [Scouts Guide to the Zombie Apocalypse, editedBy, Jim Page]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jim Page
Context triple: [Scouts Guide to the Zombie Apocalypse, editedBy, Jim Page]
  • A. Jim Page chosen
    Jim Page is a film editor known for his work on the neo-noir black comedy crime film "Kiss Kiss Bang Bang."
  • B. Joe Page
    Joe Page was an American Major League Baseball relief pitcher best known for his dominant late-inning work with the New York Yankees in the 1940s.
  • C. David Gilroy Bevan
    David Gilroy Bevan was a British industrial chemist and academic known for his contributions to inorganic chemistry and crystallography.
  • D. Doug McKendall
    Doug McKendall is a technology entrepreneur best known as a founder of the cybersecurity and software company Symantec.
  • E. Ian Kennedy Martin
    Ian Kennedy Martin is a British television scriptwriter and producer known for creating the long-running police drama series "The Sweeney."
  • 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_69e0b512ad94819087942b2ed925185f completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e734ae60408190a9480b27d109b8fc completed April 21, 2026, 8:26 a.m.
Created at: April 16, 2026, 3:44 p.m.