Triple

T9467747
Position Surface form Disambiguated ID Type / Status
Subject Checkers (dog) E228315 entity
Predicate breed P14611 FINISHED
Object American Cocker Spaniel E800880 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: American Cocker Spaniel | Statement: [Checkers (dog), breed, American Cocker Spaniel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: American Cocker Spaniel
Context triple: [Checkers (dog), breed, American Cocker Spaniel]
  • A. Cocker Spaniel chosen
    The Cocker Spaniel is a medium-sized, affectionate and energetic dog breed known for its long, silky ears and friendly, family-oriented temperament.
  • B. 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.
  • C. Beagle
    Beagle is the NATO reporting name for the Soviet-era Ilyushin Il-28 jet bomber aircraft.
  • D. Golden Retriever
    The Golden Retriever is a friendly, intelligent, and highly trainable medium-to-large dog breed known for its golden coat and popularity as a family pet and service dog.
  • E. Chester French
    Chester French is an American indie pop duo known for their genre-blending sound, witty lyrics, and early association with producers like Pharrell Williams.
  • 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_69ca846fee388190a6ec273fd644b88b completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fdd7d048190930a15cb2a2d99ea completed April 1, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12ce6c7c88190825bf618f1f1f9b5 completed April 4, 2026, 3:23 p.m.
Created at: March 30, 2026, 7:53 p.m.