Triple

T22095985
Position Surface form Disambiguated ID Type / Status
Subject Basset E546033 entity
Predicate isAssociatedWith P2830 FINISHED
Object Basset Hound 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: Basset Hound | Statement: [Basset, isAssociatedWith, Basset Hound]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Basset Hound
Context triple: [Basset, isAssociatedWith, Basset Hound]
  • A. Basset chosen
    Basset is a surname and term most commonly associated with the Basset Hound dog breed and with various historical families and individuals bearing that name.
  • B. Beagle
    Beagle is the NATO reporting name for the Soviet-era Ilyushin Il-28 jet bomber aircraft.
  • C. Talbot hound
    The Talbot hound is a now-extinct, large white hunting dog of medieval England, famed for its tracking ability and frequently used as a heraldic emblem.
  • D. Cocker
    Cocker is the surname of English rock and blues singer Joe Cocker, known for his gritty voice and soulful cover versions of popular songs.
  • E. Teckel
    Teckel is another name for the dachshund, a small, long-bodied dog breed originally developed in Germany for hunting badgers and other burrowing animals.
  • 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e8f1f48190a5f1d9e96a6de688 completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:30 p.m.