Triple

T1230002
Position Surface form Disambiguated ID Type / Status
Subject The Drinkard Singers E26414 entity
Predicate hasMember P10 FINISHED
Object Larry Drinkard
Larry Drinkard is a gospel singer best known as a member of the influential family group The Drinkard Singers.
 E267192 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: Larry Drinkard | Statement: [The Drinkard Singers, hasMember, Larry Drinkard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Larry Drinkard
Context triple: [The Drinkard Singers, hasMember, Larry Drinkard]
  • A. Ray Cusick
    Ray Cusick was a British designer best known for creating the iconic look of the Daleks in the long-running science fiction television series Doctor Who.
  • B. Ken Ralston
    Ken Ralston is an acclaimed visual effects supervisor known for his groundbreaking work on major films such as the Star Wars and Back to the Future series.
  • C. Ed McCauley
    Ed McCauley is a Canadian academic and research leader who serves as president of the University of Calgary.
  • D. Ron Dixon
    Ron Dixon is a former NFL wide receiver and kick returner best known for his explosive return touchdowns for the New York Giants during their run to Super Bowl XXXV.
  • E. Tim McClelland
    Tim McClelland is a former Major League Baseball umpire known for his long tenure, distinctive strike zone, and involvement in several high-profile postseason games.
  • 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: Larry Drinkard
Triple: [The Drinkard Singers, hasMember, Larry Drinkard]
Generated description
Larry Drinkard is a gospel singer best known as a member of the influential family group The Drinkard Singers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Larry Drinkard
Target entity description: Larry Drinkard is a gospel singer best known as a member of the influential family group The Drinkard Singers.
  • A. Ray Cusick
    Ray Cusick was a British designer best known for creating the iconic look of the Daleks in the long-running science fiction television series Doctor Who.
  • B. Ken Ralston
    Ken Ralston is an acclaimed visual effects supervisor known for his groundbreaking work on major films such as the Star Wars and Back to the Future series.
  • C. Ed McCauley
    Ed McCauley is a Canadian academic and research leader who serves as president of the University of Calgary.
  • D. Ron Dixon
    Ron Dixon is a former NFL wide receiver and kick returner best known for his explosive return touchdowns for the New York Giants during their run to Super Bowl XXXV.
  • E. Tim McClelland
    Tim McClelland is a former Major League Baseball umpire known for his long tenure, distinctive strike zone, and involvement in several high-profile postseason games.
  • 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_69a4948571c88190a9191e451e6035fd completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be585674819099218b19ca9e7c66 completed March 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69aef06424f48190bf3604cc342992b6 completed March 9, 2026, 4:08 p.m.
NEDg Description generation batch_69aef56527308190923fc5394ba2521a completed March 9, 2026, 4:29 p.m.
NED2 Entity disambiguation (via description) batch_69aef6450a1c8190ad5a844b31bff220 completed March 9, 2026, 4:33 p.m.
Created at: March 1, 2026, 7:47 p.m.