Triple

T15710922
Position Surface form Disambiguated ID Type / Status
Subject Maury Yeston E380833 entity
Predicate familyName P18 FINISHED
Object Yeston
Yeston is a surname most notably associated with Maury Yeston, the American composer and lyricist known for his work in musical theatre.
 E1173000 NE FINISHED

How this triple was built (4 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: Yeston | Statement: [Maury Yeston, familyName, Yeston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yeston
Context triple: [Maury Yeston, familyName, Yeston]
  • A. Eastland
    Eastland is a surname most notably associated with James Eastland, a long-serving and influential U.S. senator from Mississippi.
  • B. Eastland
    Eastland is a small city in central Texas that serves as the county seat of Eastland County and a regional hub for legal and civic affairs.
  • C. Dunham
    Dunham is a surname most notably associated with Ann Dunham, the American anthropologist and mother of former U.S. President Barack Obama.
  • D. Racine
    Racine is a small city located in southeastern Minnesota in the United States.
  • E. Racine
    Racine is a city in southeastern Wisconsin located on the shore of Lake Michigan, known historically for its manufacturing industry and Danish kringle pastries.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Yeston
Triple: [Maury Yeston, familyName, Yeston]
Generated description
Yeston is a surname most notably associated with Maury Yeston, the American composer and lyricist known for his work in musical theatre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yeston
Target entity description: Yeston is a surname most notably associated with Maury Yeston, the American composer and lyricist known for his work in musical theatre.
  • A. Eastland
    Eastland is a surname most notably associated with James Eastland, a long-serving and influential U.S. senator from Mississippi.
  • B. Eastland
    Eastland is a small city in central Texas that serves as the county seat of Eastland County and a regional hub for legal and civic affairs.
  • C. Dunham
    Dunham is a surname most notably associated with Ann Dunham, the American anthropologist and mother of former U.S. President Barack Obama.
  • D. Racine
    Racine is a small city located in southeastern Minnesota in the United States.
  • E. Racine
    Racine is a city in southeastern Wisconsin located on the shore of Lake Michigan, known historically for its manufacturing industry and Danish kringle pastries.
  • F. None of above. chosen

Provenance (5 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f8f5d6081908243fa59b46b7c76 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff757d74b481909c8332a09ae36b4f completed May 9, 2026, 5:57 p.m.
NEDg Description generation batch_69ff762c0c548190a80392e1e83f68cc completed May 9, 2026, 6 p.m.
NED2 Entity disambiguation (via description) batch_69ff76fbcd188190b431bf277304aeea completed May 9, 2026, 6:03 p.m.
Created at: April 10, 2026, 4:45 a.m.