Triple

T2788382
Position Surface form Disambiguated ID Type / Status
Subject Cheryl Alley E61865 entity
Predicate name P16 FINISHED
Object Cheryl Alley E61865 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: Cheryl Alley | Statement: [Cheryl Alley, name, Cheryl Alley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cheryl Alley
Context triple: [Cheryl Alley, name, Cheryl Alley]
  • A. Cheryl Alley chosen
    Cheryl Alley, also known as Cheryl Howard, is an American writer and actress best known as the longtime wife of filmmaker Ron Howard.
  • B. Patti Koon
    Patti Koon was the first wife of American author James A. Michener, whom he married in the 1930s before achieving his literary fame.
  • C. Colleen Ahland
    Colleen Ahland is a linguist known for her research on the Koman languages of Ethiopia and Sudan, focusing on their documentation, description, and classification.
  • D. Cathy Shumway
    Cathy Shumway is a character from the satirical 1970s television soap opera "Mary Hartman, Mary Hartman."
  • E. Sherry Smith
    Sherry Smith was an early 20th-century Major League Baseball left-handed pitcher known for his strong performances in several World Series appearances.
  • 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_69ab4b7f51d881908768300ebd2fbdae completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abddb3d63c8190b3ab5fa363c69db8 completed March 7, 2026, 8:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69b4f00fe39481908cee24dc57be2b3b completed March 14, 2026, 5:20 a.m.
Created at: March 6, 2026, 9:58 p.m.