Triple

T12043575
Position Surface form Disambiguated ID Type / Status
Subject János E286726 entity
Predicate derivedFrom P909 FINISHED
Object John
John is a common English given name of Hebrew origin, widely used in many cultures and languages.
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: [János, derivedFrom, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [János, derivedFrom, John]
  • A. John
    John is the given name of the influential American financier and banker J. P. Morgan, a central figure in early 20th-century U.S. finance and industry.
  • B. John
    John is the first name of American politician Mick Mulvaney, who served as acting White House Chief of Staff under President Donald Trump.
  • C. John
    John L. Hennessy is an American computer scientist and academic leader best known as a pioneer of RISC architecture and as the former president of Stanford University.
  • D. 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.
  • E. John
    John II, Count Palatine of Simmern, was a 16th-century German nobleman of the House of Wittelsbach who ruled the Palatinate-Simmern territory within the Holy Roman Empire.
  • 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: [János, derivedFrom, John]
Generated description
John is a common English given name of Hebrew origin, widely used in many cultures and languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is a common English given name of Hebrew origin, widely used in many cultures and languages.
  • 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 Lennon, the iconic English singer-songwriter and co-founder of The Beatles.
  • D. John
    John is the given name of the influential English philosopher John Locke, a key figure in empiricism and liberal political theory.
  • E. John
    John is the given name of American actor John Goodman, renowned for his roles in film, television, and theater.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9040d13108190bd1a969fa62aae5a completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a62f0fc8190a3d15ccfb23bb788 completed May 2, 2026, 2:29 p.m.
NEDg Description generation batch_69f6128da2c4819095bef0cb02a3d39d completed May 2, 2026, 3:04 p.m.
NED2 Entity disambiguation (via description) batch_69f6134f17c88190a17e1672b9eb2191 completed May 2, 2026, 3:07 p.m.
Created at: April 8, 2026, 9:47 p.m.