Triple

T5226175
Position Surface form Disambiguated ID Type / Status
Subject Sophie Tucker E117991 entity
Predicate child P120 FINISHED
Object Bert Tucker
Bert Tucker was the son of famed American vaudeville and jazz singer Sophie Tucker.
E508296 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: Bert Tucker | Statement: [Sophie Tucker, child, Bert Tucker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bert Tucker
Context triple: [Sophie Tucker, child, Bert Tucker]
  • A. Cliff Hagan
    Cliff Hagan is an American Hall of Fame basketball player best known for his scoring prowess with the St. Louis Hawks and later as a player-coach in the ABA.
  • B. Jack Bicknell
    Jack Bicknell is an American football coach best known for leading Boston College to national prominence in the 1980s, including the famed Doug Flutie era and the 1984 Cotton Bowl victory.
  • C. Lloyd Hubler
    Lloyd Hubler is a cinematographer best known for his work on the animated film "Megamind."
  • D. Bill Truitt
    Bill Truitt is a central character in the dark comedy film "The Opposite of Sex," serving as a mild-mannered teacher whose life is upended by the manipulative actions of his teenage half-sister.
  • E. Terry Tumey
    Terry Tumey is an American college athletics administrator and former UCLA football player and NFL defensive lineman who serves as the athletic director at Fresno State.
  • 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: Bert Tucker
Triple: [Sophie Tucker, child, Bert Tucker]
Generated description
Bert Tucker was the son of famed American vaudeville and jazz singer Sophie Tucker.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bert Tucker
Target entity description: Bert Tucker was the son of famed American vaudeville and jazz singer Sophie Tucker.
  • A. Cliff Hagan
    Cliff Hagan is an American Hall of Fame basketball player best known for his scoring prowess with the St. Louis Hawks and later as a player-coach in the ABA.
  • B. Jack Bicknell
    Jack Bicknell is an American football coach best known for leading Boston College to national prominence in the 1980s, including the famed Doug Flutie era and the 1984 Cotton Bowl victory.
  • C. Lloyd Hubler
    Lloyd Hubler is a cinematographer best known for his work on the animated film "Megamind."
  • D. Bill Truitt
    Bill Truitt is a central character in the dark comedy film "The Opposite of Sex," serving as a mild-mannered teacher whose life is upended by the manipulative actions of his teenage half-sister.
  • E. Terry Tumey
    Terry Tumey is an American college athletics administrator and former UCLA football player and NFL defensive lineman who serves as the athletic director at Fresno State.
  • 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_69bd4466fb8c819083b806a79414d7e4 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7adc9be081909903b9f844c3d146 completed March 20, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06b46eac81908b985363733fcd63 completed March 21, 2026, 8:59 p.m.
NEDg Description generation batch_69bf091d9d008190ad409fe11a82498a completed March 21, 2026, 9:09 p.m.
NED2 Entity disambiguation (via description) batch_69bf096cbed88190bfb8ef2600187609 completed March 21, 2026, 9:11 p.m.
Created at: March 20, 2026, 1:48 p.m.