Triple

T15878939
Position Surface form Disambiguated ID Type / Status
Subject Donald B. Rubin E385023 entity
Predicate givenName P17 FINISHED
Object Donald
Donald is the given name of Donald B. Rubin, a prominent American statistician known for his work on causal inference and missing data.
 E1181892 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 B. Rubin, givenName, Donald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Donald
Context triple: [Donald B. Rubin, 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 B. Rubin, givenName, Donald]
Generated description
Donald is the given name of Donald B. Rubin, a prominent American statistician known for his work on causal inference and missing data.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Donald
Target entity description: Donald is the given name of Donald B. Rubin, a prominent American statistician known for his work on causal inference and missing data.
  • A. Donald
    Donald is the given name of Donald A. Norman, a prominent cognitive scientist and design theorist known for his influential work on user-centered design.
  • 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 Donald Lynden-Bell, a prominent British astrophysicist known for his work on galactic dynamics and the theory that supermassive black holes power quasars.
  • D. 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."
  • E. Donald
    Donald is the given first name of influential American jazz musician, arranger, and bandleader Don Redman.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e155ff96588190b8fca1c3bf4a39a2 completed April 16, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa9529ac48190993d1af234faea3b completed May 9, 2026, 9:38 p.m.
NEDg Description generation batch_69ffa9e9b17c8190b98d930fd5cb0723 completed May 9, 2026, 9:40 p.m.
NED2 Entity disambiguation (via description) batch_69ffaa973274819080889e1b9883b8dc completed May 9, 2026, 9:43 p.m.
Created at: April 10, 2026, 4:51 a.m.