Triple

T16039446
Position Surface form Disambiguated ID Type / Status
Subject Donald Crisp E389054 entity
Predicate givenName P17 FINISHED
Object Donald
Donald is a masculine given name of Scottish and Gaelic origin, commonly used in English-speaking countries.
E536111 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: [Donald Crisp, givenName, Donald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donald
Context triple: [Donald Crisp, givenName, Donald]
  • A. Donald
    Donald is a fictional character portrayed by American actor Matt Bomer, likely in a film or television production.
  • B. Donald
    Donald is the given first name of American actor Don Cheadle, known for his acclaimed film and television roles.
  • C. Donald
    Donald is the given name of Donald W. Riegle Jr., a former United States Senator from Michigan.
  • D. Donald
    Donald is the given first name of Don Drysdale, the Hall of Fame Major League Baseball pitcher known for his dominant career with the Los Angeles Dodgers.
  • E. 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.
  • 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: [Donald Crisp, givenName, Donald]
Generated description
Donald is a masculine given name of Scottish and Gaelic origin, commonly used in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Donald
Target entity description: Donald is a masculine given name of Scottish and Gaelic origin, commonly used in English-speaking countries.
  • A. Donald chosen
    Donald is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
  • B. Donald
    Donald is the given name of Donald Trump, the 45th president of the United States and a prominent businessman and media personality.
  • C. 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.
  • D. Donald
    Donald is the given name of the English actor and theatre manager Donald Wolfit.
  • E. Donald
    Donald is the given name of Don Bluth, the renowned American animator and film director known for works like "The Secret of NIMH" and "An American Tail."
  • F. None of above.

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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1833f84188190baa3a452df880284 completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbd77c5481908644742a8a8f3e68 completed May 10, 2026, 1:13 a.m.
NEDg Description generation batch_69ffdc4f3d488190a5d1bffd4432ac32 completed May 10, 2026, 1:15 a.m.
NED2 Entity disambiguation (via description) batch_69ffdd0392e08190af42a0cdc5dd4c1f completed May 10, 2026, 1:18 a.m.
Created at: April 10, 2026, 4:56 a.m.