Triple

T13721021
Position Surface form Disambiguated ID Type / Status
Subject Oliver Wendell Douglas E329034 entity
Predicate hasPet P8711 FINISHED
Object Arnold Ziffel E956538 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: Arnold Ziffel | Statement: [Oliver Wendell Douglas, hasPet, Arnold Ziffel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arnold Ziffel
Context triple: [Oliver Wendell Douglas, hasPet, Arnold Ziffel]
  • A. Fred Ziffel chosen
    Fred Ziffel is a recurring, comically folksy farmer character from the classic American television sitcom "Green Acres," often seen with his beloved pet pig Arnold.
  • B. Peter A. Ziegler
    Peter A. Ziegler was a prominent Swiss geologist known for his influential work on the tectonic evolution and geological history of Europe.
  • C. Arnold O. Benz
    Arnold O. Benz is a Swiss astrophysicist renowned for his pioneering research on star formation and cosmic plasmas, recognized by major awards in solar and stellar physics.
  • D. Jerrold R. Zacharias
    Jerrold R. Zacharias was an American physicist best known for his work on radar development during World War II and for pioneering the atomic clock.
  • E. Thomas F. Hofmann
    Thomas F. Hofmann is a German food chemist and academic leader who serves as president of the Technical University of Munich.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de01f3b46481909ceedfa78e9ca92b completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b38823881909c9df93371782b47 completed May 8, 2026, 11:01 p.m.
Created at: April 9, 2026, 9:55 p.m.