Triple

T16759262
Position Surface form Disambiguated ID Type / Status
Subject Wind Fell E407296 entity
Predicate category P87 FINISHED
Object Donald
Donald is a category that groups together topics or pages related to the name "Donald," which may include people, places, or other entities sharing that name.
 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: [Wind Fell, category, Donald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Donald
Context triple: [Wind Fell, category, 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: [Wind Fell, category, Donald]
Generated description
Donald is a category that groups together topics or pages related to the name "Donald," which may include people, places, or other entities sharing that name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Donald
Target entity description: Donald is a category that groups together topics or pages related to the name "Donald," which may include people, places, or other entities sharing that name.
  • A. Donald
    Donald is the given name of Donald Trump, the 45th president of the United States and a prominent businessman and media personality.
  • B. 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."
  • C. Donald
    Donald is a locality or feature associated with Glenrath Heights, likely recognized as a named place or landmark in that area.
  • D. Donald chosen
    Donald is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
  • E. 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.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3abeb3ab08190918f6bff686858be completed April 18, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a52b17b88190af24c04d16980c9f completed May 10, 2026, 3:32 p.m.
NEDg Description generation batch_6a00a5e1eea8819088553ac6673e9b1c completed May 10, 2026, 3:36 p.m.
NED2 Entity disambiguation (via description) batch_6a00a68b92b48190865ddd477a8ba1c6 completed May 10, 2026, 3:38 p.m.
Created at: April 10, 2026, 5:21 a.m.