Triple

T22745061
Position Surface form Disambiguated ID Type / Status
Subject Bob Boozer E562526 entity
Predicate familyName P18 FINISHED
Object Boozer
Boozer is a surname most notably associated with Bob Boozer, an American professional basketball player who won an Olympic gold medal and an NBA championship.
 E1552585 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: Boozer | Statement: [Bob Boozer, familyName, Boozer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Boozer
Context triple: [Bob Boozer, familyName, Boozer]
  • A. Billy Beer
    Billy Beer was a short-lived American beer brand launched in the late 1970s and marketed around the folksy persona of U.S. President Jimmy Carter’s brother, Billy Carter.
  • B. Jim Stout
    Jim Stout is a musician best known as a member of the New York noise-rock band Band of Susans.
  • C. Beery
    Beery is a surname most notably associated with the American acting family that includes character actor Noah Beery and his relatives.
  • D. Drinker
    Drinker is a surname most notably associated with the American biographer Catherine Drinker Bowen and her prominent intellectual family.
  • E. Gene Brewer
    Gene Brewer is an American novelist best known for his science fiction series beginning with "K-PAX," which was adapted into a feature film.
  • 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: Boozer
Triple: [Bob Boozer, familyName, Boozer]
Generated description
Boozer is a surname most notably associated with Bob Boozer, an American professional basketball player who won an Olympic gold medal and an NBA championship.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Boozer
Target entity description: Boozer is a surname most notably associated with Bob Boozer, an American professional basketball player who won an Olympic gold medal and an NBA championship.
  • A. Billy Beer
    Billy Beer was a short-lived American beer brand launched in the late 1970s and marketed around the folksy persona of U.S. President Jimmy Carter’s brother, Billy Carter.
  • B. Jim Stout
    Jim Stout is a musician best known as a member of the New York noise-rock band Band of Susans.
  • C. Beery
    Beery is a surname most notably associated with the American acting family that includes character actor Noah Beery and his relatives.
  • D. Drinker
    Drinker is a surname most notably associated with the American biographer Catherine Drinker Bowen and her prominent intellectual family.
  • E. Gene Brewer
    Gene Brewer is an American novelist best known for his science fiction series beginning with "K-PAX," which was adapted into a feature film.
  • 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_69e245513a5c81908d5cb471b4fc429d completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f179b563e481908804d07fca1777b9 completed April 29, 2026, 3:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b8fd41bcc81909e23e380bf834ca5 completed May 18, 2026, 10:16 p.m.
NEDg Description generation batch_6a0b93d4b8e08190a0542ffc42f12814 completed May 18, 2026, 10:33 p.m.
NED2 Entity disambiguation (via description) batch_6a0b94bbb9c88190a7ab0937d1b398a5 completed May 18, 2026, 10:37 p.m.
Created at: April 17, 2026, 3:23 p.m.