Triple

T10356205
Position Surface form Disambiguated ID Type / Status
Subject Jarvis Cocker E244003 entity
Predicate familyName P18 FINISHED
Object Cocker E750494 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: Cocker | Statement: [Jarvis Cocker, familyName, Cocker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cocker
Context triple: [Jarvis Cocker, familyName, Cocker]
  • A. Cocker chosen
    Cocker is the surname of English rock and blues singer Joe Cocker, known for his gritty voice and soulful cover versions of popular songs.
  • B. Cocker Spaniel
    The Cocker Spaniel is a medium-sized, affectionate and energetic dog breed known for its long, silky ears and friendly, family-oriented temperament.
  • C. Beagle
    Beagle is the NATO reporting name for the Soviet-era Ilyushin Il-28 jet bomber aircraft.
  • D. Basset
    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.
  • E. West Highland White Terrier
    The West Highland White Terrier is a small, sturdy Scottish terrier breed known for its distinctive white coat, lively personality, and confident, friendly demeanor.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e954a0b8819083e4bd1fa47dc6f5 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d750a9b4188190a8ecdd9e4d97570b completed April 9, 2026, 7:09 a.m.
Created at: April 6, 2026, 11:58 a.m.