Triple

T19193965
Position Surface form Disambiguated ID Type / Status
Subject John of Saxony E469916 entity
Predicate givenName P17 FINISHED
Object John
John of Saxony was a 19th-century King of Saxony known for his constitutional reign and his work as a translator of Dante.
E1363958 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 of Saxony, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John of Saxony, givenName, John]
  • A. John
    John is the given name of John J. Pershing, the famed American general who led the American Expeditionary Forces in World War I.
  • B. John
    John is the given name of John A. Roebling II, an American civil engineer and philanthropist from the prominent Roebling family associated with major bridge construction.
  • C. John
    John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
  • D. John
    John is the given name of John Albert William Spencer-Churchill, a British aristocrat and 10th Duke of Marlborough.
  • E. John
    John is the first name of American actor and musician John Stamos, best known for his role as Uncle Jesse on the television series "Full House."
  • 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 of Saxony, givenName, John]
Generated description
John of Saxony was a 19th-century King of Saxony known for his constitutional reign and his work as a translator of Dante.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John of Saxony was a 19th-century King of Saxony known for his constitutional reign and his work as a translator of Dante.
  • A. John
    John was the given name of Elector John of Saxony, a key early supporter of the Protestant Reformation in the Holy Roman Empire.
  • B. John
    John of Cornwall was a 12th-century Cornish scholar and theologian known for his Latin writings and contributions to medieval intellectual life.
  • C. John
    John is the given name of John II of Portugal, the 15th-century king known for strengthening royal authority and advancing Portuguese exploration.
  • D. John
    John is the given name of the 19th-century English historian and political essayist John Robert Seeley.
  • E. John
    John I, Duke of Brittany, was a 13th-century French nobleman who ruled Brittany and was involved in the complex feudal politics between France and England.
  • 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_69d8dd0ad9088190a173b32657ae2e7a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f8a409948190a17aa28a6e9c8844 completed April 20, 2026, 9:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0700d9f81c8190938338cd726c9c7e completed May 15, 2026, 11:17 a.m.
NEDg Description generation batch_6a070191a48481908f2c731d0d1d00bf completed May 15, 2026, 11:20 a.m.
NED2 Entity disambiguation (via description) batch_6a07025e91488190a25f6eb4fd6916c2 completed May 15, 2026, 11:24 a.m.
Created at: April 10, 2026, 12:07 p.m.