Triple

T21600586
Position Surface form Disambiguated ID Type / Status
Subject John Garrett (American football coach) E533026 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of John Garrett, an American football coach known for his roles as an assistant and coordinator at various college and NFL teams.
E1493487 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: [John Garrett (American football coach), givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Garrett (American football coach), givenName, John]
  • A. John
    John Vassall Jr. was a British civil servant who became notorious as a Soviet spy during the Cold War.
  • B. John
    John is the given name of John A. Roebling II, an American civil engineer and philanthropist from the prominent Roebling family associated with major bridge construction.
  • C. John
    John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
  • D. John
    John is the given name of John Albert William Spencer-Churchill, a British aristocrat and 10th Duke of Marlborough.
  • E. John
    John is the given name of John George Graves, a notable British mail-order entrepreneur and philanthropist from Sheffield.
  • 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: [John Garrett (American football coach), givenName, John]
Generated description
John is the given name of John Garrett, an American football coach known for his roles as an assistant and coordinator at various college and NFL teams.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of John Garrett, an American football coach known for his roles as an assistant and coordinator at various college and NFL teams.
  • A. John
    John is the given name of John Madden, the famed American football coach, broadcaster, and namesake of the Madden NFL video game series.
  • B. John
    John is the first name of American college football coach Jimbo Fisher, known for leading Florida State University to a national championship.
  • C. John
    John is the given first name of Johnny Vaught, a notable American college football coach.
  • D. John
    John is the first name of American football player and coach Paddy Driscoll, a Pro Football Hall of Famer known for his versatility and early NFL success.
  • E. John
    John is the given name of John David Crow, a celebrated American football player and Heisman Trophy winner.
  • 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_69e0c46364608190a337dc8720dc2a35 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef17e12fdc8190ab6125ea8d294717 completed April 27, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a0f8a69848190a4881bddc0fc3317 completed May 17, 2026, 6:57 p.m.
NEDg Description generation batch_6a0a1020e67c8190a6faf7e8e458d48e completed May 17, 2026, 6:59 p.m.
NED2 Entity disambiguation (via description) batch_6a0a10ac13288190a1fbf21fa67a4ed2 completed May 17, 2026, 7:02 p.m.
Created at: April 16, 2026, 6:32 p.m.