Triple

T19995322
Position Surface form Disambiguated ID Type / Status
Subject John Napier E494177 entity
Predicate givenName P17 FINISHED
Object John
John Napier was a Scottish mathematician best known for inventing logarithms and popularizing the use of the decimal point in arithmetic.
E1407327 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 Napier, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Napier, givenName, John]
  • A. John
    John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
  • B. John
    John is the given first name of the 19th-century English theologian and social reformer Frederick Denison Maurice.
  • C. John
    John is the given name of John Eales, the renowned former Australian rugby union captain and World Cup winner.
  • D. John
    John is the given first name of the American Old West outlaw and gunfighter Johnny Ringo.
  • E. John
    John is the given name of American novelist and historical fiction writer John Jakes, best known for his sprawling family sagas set during pivotal periods of U.S. history.
  • 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 Napier, givenName, John]
Generated description
John Napier was a Scottish mathematician best known for inventing logarithms and popularizing the use of the decimal point in arithmetic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John Napier was a Scottish mathematician best known for inventing logarithms and popularizing the use of the decimal point in arithmetic.
  • A. John
    John is the given name of the Scottish mathematician and geologist John Playfair, known for his work on geometry and for popularizing James Hutton’s theories of geology.
  • B. 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.
  • C. John
    John W. Tukey was an influential American mathematician and statistician known for pioneering exploratory data analysis and coining the term "bit."
  • D. John
    John is the given name of John Dee, the 16th-century English mathematician, astronomer, and advisor to Queen Elizabeth I known for his work in alchemy and the occult.
  • E. John
    John is the given name of the American mathematician John Tate, renowned for his foundational contributions to number theory and arithmetic geometry.
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65fe3fb288190a935c334e8a5d54e completed April 20, 2026, 5:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a080e1c30c48190973e2735ecef8354 completed May 16, 2026, 6:26 a.m.
NEDg Description generation batch_6a08100875fc8190a60561870c8b6e32 completed May 16, 2026, 6:34 a.m.
NED2 Entity disambiguation (via description) batch_6a081080c9908190a6029049afe65004 completed May 16, 2026, 6:36 a.m.
Created at: April 11, 2026, 3:31 p.m.