Triple

T8785856
Position Surface form Disambiguated ID Type / Status
Subject i/o E209040 entity
Predicate notableTrack P8087 FINISHED
Object Four Kinds of Horses E209060 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: Four Kinds of Horses | Statement: [i/o, notableTrack, Four Kinds of Horses]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Four Kinds of Horses
Context triple: [i/o, notableTrack, Four Kinds of Horses]
  • A. Four Kinds of Horses chosen
    "Four Kinds of Horses" is a contemplative, atmospheric art-rock song by Peter Gabriel that blends spiritual themes with layered electronic and orchestral textures.
  • B. The Horse
    "The Horse" was the nickname of Harry Gallatin, a rugged and durable Hall of Fame NBA forward known for his rebounding and toughness, primarily with the New York Knicks in the 1950s.
  • C. The Horse
    The Horse is a renowned early 20th-century Cubist sculpture by Raymond Duchamp-Villon that dynamically abstracts the form and power of a horse.
  • D. Capricious Horses
    Capricious Horses is a famous song by Russian bard and actor Vladimir Vysotsky, known for its intense imagery and existential themes.
  • E. Spotted Horses
    "Spotted Horses" is a comic short story by William Faulkner about a chaotic auction of wild ponies in a small Southern town, showcasing his trademark blend of dark humor and regional character.
  • 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_69ca836168108190bb43d3dc235c1f55 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f758d348190804942d985f2337c completed March 31, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf51fded4c81909725807e4855c4a2 completed April 3, 2026, 5:37 a.m.
Created at: March 30, 2026, 6:42 p.m.