Triple

T3213260
Position Surface form Disambiguated ID Type / Status
Subject Baby Doll E67330 entity
Predicate musicBy P1952 FINISHED
Object Kenyon Hopkins E335067 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: Kenyon Hopkins | Statement: [Baby Doll, musicBy, Kenyon Hopkins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kenyon Hopkins
Context triple: [Baby Doll, musicBy, Kenyon Hopkins]
  • A. Kenyon Hopkins chosen
    Kenyon Hopkins was an American composer and arranger best known for his atmospheric jazz-influenced film and television scores of the 1950s and 1960s.
  • B. Stedman Graham
    Stedman Graham is an American educator, author, businessman, and public speaker best known for his long-term relationship with media mogul Oprah Winfrey.
  • C. Ezra Dee Alexander
    Ezra Dee Alexander was an American physician and educator best known as one of the ten founders of the historically Black fraternity Kappa Alpha Psi.
  • D. E. Vincent Harris
    E. Vincent Harris was a prominent 20th-century British architect known for his monumental civic and public buildings in a classical style.
  • E. Horace Albert McKinney
    Horace Albert "Bones" McKinney was an American basketball player and coach best known for his colorful personality and successful coaching career at Wake Forest University.
  • 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_69ad858ac36c81909962589cd277d6e2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaabba8e481909118d9f888ddcd63 completed March 8, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b26237211c81908cddc4e8d42e497e completed March 12, 2026, 6:50 a.m.
Created at: March 8, 2026, 3:07 p.m.