Triple

T2154282
Position Surface form Disambiguated ID Type / Status
Subject Home Run Baker E47851 entity
Predicate givenName P17 FINISHED
Object John
John "Home Run" Baker was a prominent early 20th-century American Major League Baseball third baseman known for his powerful hitting and clutch home runs.
E265394 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: John | Statement: [Home Run Baker, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [Home Run Baker, givenName, John]
  • A. John
    John is traditionally regarded as the author of the New Testament’s Book of Revelation, a prophetic and apocalyptic text in Christian scripture.
  • B. John
    John is the given name of John Perry Barlow, the American poet, essayist, and co-founder of the Electronic Frontier Foundation known for his advocacy of digital rights.
  • C. John
    John is the given name of the renowned British mathematician John H. Conway, known for his work in group theory, number theory, and the invention of the Game of Life.
  • D. John
    John is the given name of John Nance Garner, who served as the 32nd vice president of the United States under President Franklin D. Roosevelt.
  • E. John
    John is the given name of John F. Sattler, likely referring to him in a more informal or abbreviated context.
  • 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: John
Triple: [Home Run Baker, givenName, John]
Generated description
John "Home Run" Baker was a prominent early 20th-century American Major League Baseball third baseman known for his powerful hitting and clutch home runs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John "Home Run" Baker was a prominent early 20th-century American Major League Baseball third baseman known for his powerful hitting and clutch home runs.
  • A. John
    John is the given name of John McGraw, the famed early 20th-century Major League Baseball manager and Hall of Famer.
  • B. John
    John is the given first name of the legendary American professional golfer Byron Nelson, one of the sport’s early great champions.
  • C. John
    John is the given first name of former Major League Baseball player Tito Francona.
  • D. John
    John is the given first name of Johnny Bucyk, a Hall of Fame Canadian ice hockey player best known for his long career with the Boston Bruins.
  • E. John
    John is the first name of John W. Henry, the American businessman and principal owner of the Boston Red Sox and Liverpool F.C.
  • 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_69a88a1d1fd8819088b34990d69a712f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe64fdf081909a5ea6818bddd18c completed March 7, 2026, 5:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebeee5a808190981c06b78d30f004 completed March 9, 2026, 12:37 p.m.
NEDg Description generation batch_69aec43352d88190a4e9ae4f315938db completed March 9, 2026, 12:59 p.m.
NED2 Entity disambiguation (via description) batch_69aec4adb21c8190a89d53588ad75438 completed March 9, 2026, 1:01 p.m.
Created at: March 4, 2026, 7:44 p.m.