Triple

T16034400
Position Surface form Disambiguated ID Type / Status
Subject Kurt McKenzie E388930 entity
Predicate createdBy P806 FINISHED
Object Fred Wolf E389185 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: Fred Wolf | Statement: [Kurt McKenzie, createdBy, Fred Wolf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fred Wolf
Context triple: [Kurt McKenzie, createdBy, Fred Wolf]
  • A. Fred Wolf chosen
    Fred Wolf is an American comedy writer, director, and producer known for his work on films like "Grown Ups 2" and for his contributions to "Saturday Night Live."
  • B. Fred Roberts
    Fred Roberts is the fictionalized British army officer and editor at the heart of the satirical World War I trench newspaper in the TV drama "The Wipers Times."
  • C. Ron Huldai
    Ron Huldai is an Israeli politician and former fighter pilot best known for serving as the long-time mayor of Tel Aviv.
  • D. Mark Healey
    Mark Healey is a British video game designer best known as a co-founder of Media Molecule and the creative director behind the acclaimed game LittleBigPlanet.
  • E. Edmund Stoiber
    Edmund Stoiber is a German conservative politician who served for many years as Minister-President of Bavaria and became a prominent national figure as the CDU/CSU candidate for chancellor in 2002.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1833a5aa88190a5cc3f82d55f5b62 completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe474f89c819086db832b793c15ed completed May 10, 2026, 1:50 a.m.
Created at: April 10, 2026, 4:56 a.m.