Triple

T3079719
Position Surface form Disambiguated ID Type / Status
Subject John Tyler E64226 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of John Tyler, the 10th president of the United States who served from 1841 to 1845.
E324402 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 Tyler, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Tyler, 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 John Nance Garner, who served as the 32nd vice president of the United States under President Franklin D. Roosevelt.
  • D. John
    John is the given first name of J. Michael Bishop, the American immunologist and Nobel Prize–winning scientist known for his work on oncogenes.
  • 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: [John Tyler, givenName, John]
Generated description
John is the given name of John Tyler, the 10th president of the United States who served from 1841 to 1845.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of John Tyler, the 10th president of the United States who served from 1841 to 1845.
  • A. John
    John is the first name of Calvin Coolidge, the 30th president of the United States known for his quiet demeanor and pro-business policies in the 1920s.
  • B. 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.
  • C. John
    John is the given name of John Jay, one of the Founding Fathers of the United States and the first Chief Justice of the U.S. Supreme Court.
  • D. John
    John is the given name of John Peter Altgeld, a prominent 19th-century American politician and reformist governor of Illinois.
  • E. John
    John is the given name of John Foster Dulles, a prominent 20th-century American diplomat and U.S. Secretary of State during the Eisenhower administration.
  • 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_69ad857bb4c88190a4cf27893fcabed8 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1a9d61081909953eb2f4ad4537e completed March 8, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f8629c7c8190b597255ab8f391af completed March 11, 2026, 11:18 p.m.
NEDg Description generation batch_69b1f8e5cdd08190840321d7ad1fe1e2 completed March 11, 2026, 11:21 p.m.
NED2 Entity disambiguation (via description) batch_69b1f968f17c81908b1e96f482546b80 completed March 11, 2026, 11:23 p.m.
Created at: March 8, 2026, 3:03 p.m.