Triple

T16536861
Position Surface form Disambiguated ID Type / Status
Subject Donald Rubin E401713 entity
Predicate hasGivenName P17 FINISHED
Object Donald
Donald is the given name of Donald Rubin, a prominent 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 Rubin, hasGivenName, Donald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Donald
Context triple: [Donald Rubin, hasGivenName, Donald]
  • A. 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.
  • B. 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.
  • C. Donald
    Donald is the given name of Lord Nicholls of Birkenhead, a prominent British judge and law lord known for his influential contributions to UK jurisprudence.
  • D. Donald
    Donald is the given first name of Don Hutson, a pioneering American football wide receiver widely regarded as one of the NFL’s earliest superstars.
  • E. 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.
  • 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 Rubin, hasGivenName, Donald]
Generated description
Donald is the given name of Donald Rubin, a prominent 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 Rubin, a prominent statistician known for his work on causal inference and missing data.
  • A. Donald chosen
    Donald is the given name of Donald B. Rubin, a prominent American statistician known for his work on causal inference and missing data.
  • B. 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.
  • C. Donald
    Donald is the given name of Donald Trump, the 45th president of the United States and a prominent businessman and media personality.
  • D. 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.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34558ec448190a6dcc15d62d1889c completed April 18, 2026, 8:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00608d36dc8190a094fa4513147c85 completed May 10, 2026, 10:40 a.m.
NEDg Description generation batch_6a0061a6e1e88190a5efe0430db0bd9b completed May 10, 2026, 10:44 a.m.
NED2 Entity disambiguation (via description) batch_6a00627908988190803707069872e4c5 completed May 10, 2026, 10:48 a.m.
Created at: April 10, 2026, 5:15 a.m.