Triple

T11338557
Position Surface form Disambiguated ID Type / Status
Subject John Green E268535 entity
Predicate givenName P17 FINISHED
Object John
John is the common given name of American author and YouTube creator John Green, known for novels like "The Fault in Our Stars" and for co-founding the Vlogbrothers channel.
E919904 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 Green, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Green, givenName, John]
  • A. John
    John is the given name of English comedian, actor, and writer John Cleese, a founding member of the legendary comedy group Monty Python.
  • B. John
    John is the given name of the British physicist J. J. Thomson, who is best known for discovering the electron and proposing the plum pudding model of the atom.
  • C. John
    John is the given name of John J. Pershing, the famed American general who led the American Expeditionary Forces in World War I.
  • D. John
    John is the given name of the influential American jazz saxophonist and composer John Coltrane.
  • E. John
    John St. Clair Drake was an influential American sociologist and anthropologist known for his pioneering studies of race relations and urban Black life.
  • 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 Green, givenName, John]
Generated description
John is the common given name of American author and YouTube creator John Green, known for novels like "The Fault in Our Stars" and for co-founding the Vlogbrothers channel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the common given name of American author and YouTube creator John Green, known for novels like "The Fault in Our Stars" and for co-founding the Vlogbrothers channel.
  • A. John
    John is the given name of the renowned American author John Steinbeck, known for works such as "The Grapes of Wrath" and "Of Mice and Men."
  • B. John
    John is the given name of American science fiction author and blogger John Scalzi, known for works like the "Old Man's War" series and his blog "Whatever."
  • C. 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.
  • D. John
    John is the first name of the American author and filmmaker Michael Crichton, known for works like "Jurassic Park" and "The Andromeda Strain."
  • E. John
    John is the given name of American screenwriter, director, and novelist John Ridley, known for works such as "12 Years a Slave."
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea008b5081908e6c6c6fc29ef936 completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5433d3e848190ad4f51c23d5a8bb2 completed April 19, 2026, 9:03 p.m.
NEDg Description generation batch_69e5474879088190990468d960b26739 completed April 19, 2026, 9:21 p.m.
NED2 Entity disambiguation (via description) batch_69e54eccdd3881908536ee3f9f4ef516 completed April 19, 2026, 9:53 p.m.
Created at: April 8, 2026, 9:33 p.m.