Triple

T10649545
Position Surface form Disambiguated ID Type / Status
Subject Don Gordon E250925 entity
Predicate givenName P17 FINISHED
Object Donald
Donald is the given first name of Don Gordon, an American actor known for his supporting roles in film and television during the mid-20th century.
E877223 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: Donald | Statement: [Don Gordon, givenName, Donald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donald
Context triple: [Don Gordon, givenName, Donald]
  • A. Donald
    Donald is the given name of Don Revie, the renowned English football player and manager best known for his successful tenure at Leeds United.
  • B. Donald
    Donald III of Scotland was a late 11th-century King of Scots who briefly ruled following the death of his brother Malcolm III.
  • C. Donald
    Donald is the surname of Aaron Donald, the dominant American football defensive tackle widely regarded as one of the greatest defensive players in NFL history.
  • D. Donald
    Donald is a fictional character portrayed by American actor Matt Bomer, likely in a film or television production.
  • E. Donald
    Donald is the given first name of Neil Johnston, an American Basketball Hall of Famer known for his prolific scoring in the 1950s NBA.
  • 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: Donald
Triple: [Don Gordon, givenName, Donald]
Generated description
Donald is the given first name of Don Gordon, an American actor known for his supporting roles in film and television during the mid-20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Donald
Target entity description: Donald is the given first name of Don Gordon, an American actor known for his supporting roles in film and television during the mid-20th century.
  • A. Donald
    Donald is the given first name of American actor and singer Don Durant, known for his roles in mid-20th-century film and television.
  • B. Donald
    Donald is the given first name of American film, radio, and television actor Don DeFore, known for his roles in mid-20th-century sitcoms.
  • C. Donald
    Donald is the given first name of American actor Don Cheadle, known for his acclaimed film and television roles.
  • D. Donald
    Donald is the given first name of American film producer Don Simpson, known for his work on blockbuster Hollywood movies in the 1980s and 1990s.
  • E. Donald
    Donald is the given name of the English actor and theatre manager Donald Wolfit.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfe3ea08819094a945ebb7fc4d3a completed April 8, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a69a57c81908bf99cac0c0a49f2 completed April 10, 2026, 10:32 p.m.
NEDg Description generation batch_69d97cc20448819094d650b9c1067dca completed April 10, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69d97e13913081908dd1fb60fa44db05 completed April 10, 2026, 10:47 p.m.
Created at: April 8, 2026, 9:06 p.m.