Triple

T20009409
Position Surface form Disambiguated ID Type / Status
Subject John William Friso E494546 entity
Predicate givenName P17 FINISHED
Object John
John is a male given name of Hebrew origin, widely used in English-speaking countries and borne by numerous historical and religious figures.
E55602 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 William Friso, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John William Friso, givenName, John]
  • A. John
    John is the given name of John Henry Patterson, an American industrialist and founder of the National Cash Register Company.
  • B. John
    John B. Magruder was a Confederate major general during the American Civil War, known for his leadership in the Peninsula Campaign and his flamboyant personality.
  • C. John
    John is the given name of John Hays Hammond Jr., an American inventor known for his pioneering work in radio control and naval weaponry.
  • D. John
    John Manners, Marquess of Granby, was an 18th-century British soldier and popular military leader renowned for his service in the Seven Years' War and his enduring legacy in English pub names.
  • E. John
    John is the given first name of the individual known as Jake Eberts, a prominent Canadian film producer and financier.
  • 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 William Friso, givenName, John]
Generated description
John is a male given name of Hebrew origin, widely used in English-speaking countries and borne by numerous historical and religious figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is a male given name of Hebrew origin, widely used in English-speaking countries and borne by numerous historical and religious figures.
  • A. John chosen
    John is a masculine given name of Hebrew origin, widely used in English-speaking countries and borne by numerous historical and contemporary figures.
  • B. John
    John is a common English surname borne by numerous individuals across various fields and cultures.
  • C. John
    John is the given name of John Graunt, a 17th-century English statistician and demographer known for pioneering work in population statistics.
  • D. John
    John is the given name of John Adams, the second president of the United States and a prominent Founding Father.
  • E. John
    John is the given name of John Lennon, the iconic English singer-songwriter and co-founder of The Beatles.
  • F. None of above.

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_69e661a81c5881909692fcaaf59a57c9 completed April 20, 2026, 5:26 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, 3:33 p.m.