Triple

T513316
Position Surface form Disambiguated ID Type / Status
Subject Dave Cowens E10652 entity
Predicate familyName P18 FINISHED
Object Cowens
Cowens is the surname of Dave Cowens, a Hall of Fame American basketball player best known for his career with the Boston Celtics.
 E64120 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: Cowens | Statement: [Dave Cowens, familyName, Cowens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cowens
Context triple: [Dave Cowens, familyName, Cowens]
  • A. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • B. Roscoe
    "Roscoe" is an essay by Washington Irving, included in his collection *The Sketch Book of Geoffrey Crayon, Gent.*, that reflects on the life and character of English historian and writer William Roscoe.
  • C. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • D. Brewster
    Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • E. Brewster
    Brewster is the given name of Brewster Kahle, an American computer engineer and digital librarian best known as the founder of the Internet Archive.
  • 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: Cowens
Triple: [Dave Cowens, familyName, Cowens]
Generated description
Cowens is the surname of Dave Cowens, a Hall of Fame American basketball player best known for his career with the Boston Celtics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cowens
Target entity description: Cowens is the surname of Dave Cowens, a Hall of Fame American basketball player best known for his career with the Boston Celtics.
  • A. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • B. Roscoe
    "Roscoe" is an essay by Washington Irving, included in his collection *The Sketch Book of Geoffrey Crayon, Gent.*, that reflects on the life and character of English historian and writer William Roscoe.
  • C. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • D. Brewster
    Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • E. Brewster
    Brewster is the given name of Brewster Kahle, an American computer engineer and digital librarian best known as the founder of the Internet Archive.
  • 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_69a2e84a0d08819087e01863fcd9abf1 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1804e908190a1d34ac952e84a3f completed Feb. 28, 2026, 1:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4a14e37208190b4df8e75b6fe03fb completed March 1, 2026, 8:27 p.m.
NEDg Description generation batch_69a4a1d418d48190b69a8dc3f3554afc completed March 1, 2026, 8:30 p.m.
NED2 Entity disambiguation (via description) batch_69a4a27329fc8190aeb227266396c1a7 completed March 1, 2026, 8:32 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.