Triple

T21086834
Position Surface form Disambiguated ID Type / Status
Subject Harry Jeannette E519511 entity
Predicate givenName P17 FINISHED
Object Harry
Harry Jeannette was an American professional basketball player and coach, notable as a Hall of Famer from the early years of the sport.
 E519511 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: Harry | Statement: [Harry Jeannette, givenName, Harry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Harry
Context triple: [Harry Jeannette, givenName, Harry]
  • A. Harry
    Harry is the given name of Harry S. Truman, the 33rd president of the United States who led the country through the end of World War II and the beginning of the Cold War.
  • B. Harry
    Harry is the given name of Harry Gregson-Williams, a prominent British film composer and music producer known for his work on numerous Hollywood soundtracks.
  • C. Harry
    Harry is the given name of Lord Woolf, a prominent British judge and former Lord Chief Justice of England and Wales.
  • D. Harry
    Harry is the given first name of Major League Baseball manager and former pitcher Bud Black.
  • E. Harry
    Harry is the given first name of the American outlaw better known by his nickname, the Sundance Kid.
  • 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: Harry
Triple: [Harry Jeannette, givenName, Harry]
Generated description
Harry Jeannette was an American professional basketball player and coach, notable as a Hall of Famer from the early years of the sport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Harry
Target entity description: Harry Jeannette was an American professional basketball player and coach, notable as a Hall of Famer from the early years of the sport.
  • A. Harry chosen
    Harry is the given first name of American basketball player and coach Buddy Jeannette.
  • B. Harry
    Harry is the given first name of legendary American and Canadian football coach Bud Grant, who led the Minnesota Vikings to multiple Super Bowl appearances.
  • C. Harry
    Harry is the given name of Harry Sinden, a notable Canadian former ice hockey coach and executive.
  • D. Harry
    Harry is the given name of the famed American baseball broadcaster Harry Caray, known for his exuberant announcing style and long association with the Chicago Cubs.
  • E. Harry
    Harry is the nickname of Harry Karstens, the American outdoorsman and guide best known as the first superintendent of Denali National Park and a key figure in the first successful ascent of Denali.
  • 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_69e0b507dd9081908fb8bfcbef4c8b46 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7094be9388190b004fda23f301397 completed April 21, 2026, 5:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a095a560a508190b4e69a73e6302836 completed May 17, 2026, 6:04 a.m.
NEDg Description generation batch_6a095c58689481909fb5ab261870e7e6 completed May 17, 2026, 6:12 a.m.
NED2 Entity disambiguation (via description) batch_6a095d21b59881909898c9581fc21ba7 completed May 17, 2026, 6:16 a.m.
Created at: April 16, 2026, 2:50 p.m.