Triple

T9769842
Position Surface form Disambiguated ID Type / Status
Subject The Merseybeats E237094 entity
Predicate hasMember P10 FINISHED
Object Bob Pryde
Bob Pryde is a musician best known as a member of the 1960s British beat group The Merseybeats.
 E819370 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: Bob Pryde | Statement: [The Merseybeats, hasMember, Bob Pryde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bob Pryde
Context triple: [The Merseybeats, hasMember, Bob Pryde]
  • A. Grahame Pratt
    Grahame Pratt is an Australian-born actor and producer best known as the longtime husband and manager of American singer and actress Leslie Uggams.
  • B. Phil Woolpert
    Phil Woolpert was a prominent American college basketball coach best known for leading the University of San Francisco to multiple national championships in the 1950s.
  • C. Stephen Buckley
    Stephen Buckley is a name shared by several notable individuals, including professionals in fields such as academia, sports, and the arts.
  • D. Tony Britten
    Tony Britten is a British composer best known for adapting and arranging the iconic UEFA Champions League anthem.
  • E. Philip Davis
    Philip Davis is a British actor known for his extensive work in film, television, and theatre, often portraying gritty, working-class characters.
  • 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: Bob Pryde
Triple: [The Merseybeats, hasMember, Bob Pryde]
Generated description
Bob Pryde is a musician best known as a member of the 1960s British beat group The Merseybeats.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bob Pryde
Target entity description: Bob Pryde is a musician best known as a member of the 1960s British beat group The Merseybeats.
  • A. Grahame Pratt
    Grahame Pratt is an Australian-born actor and producer best known as the longtime husband and manager of American singer and actress Leslie Uggams.
  • B. Phil Woolpert
    Phil Woolpert was a prominent American college basketball coach best known for leading the University of San Francisco to multiple national championships in the 1950s.
  • C. Stephen Buckley
    Stephen Buckley is a name shared by several notable individuals, including professionals in fields such as academia, sports, and the arts.
  • D. Tony Britten
    Tony Britten is a British composer best known for adapting and arranging the iconic UEFA Champions League anthem.
  • E. Philip Davis
    Philip Davis is a British actor known for his extensive work in film, television, and theatre, often portraying gritty, working-class characters.
  • 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_69ca84d831b8819090322686b47887ce completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda0f1dea08190b89bcc192b068c66 completed April 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bd05f2588190ab413d26342aa70f completed April 5, 2026, 1:38 a.m.
NEDg Description generation batch_69d1bd901e4881908a39be828eb7f21b completed April 5, 2026, 1:40 a.m.
NED2 Entity disambiguation (via description) batch_69d1bdfe40f4819096b1d0442f4ee181 completed April 5, 2026, 1:42 a.m.
Created at: March 30, 2026, 8:26 p.m.