Triple

T18262953
Position Surface form Disambiguated ID Type / Status
Subject John I of Aragon E437408 entity
Predicate givenName P17 FINISHED
Object John
John I of Aragon was a 14th-century King of Aragon and Count of Barcelona known for his weak rule and conflicts with the nobility.
E1316638 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 I of Aragon, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John I of Aragon, 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 name of John Albert William Spencer-Churchill, a British aristocrat and 10th Duke of Marlborough.
  • C. John
    John Ross is a personal name shared by various notable individuals across history, including leaders, politicians, and public figures.
  • D. John
    John is the first name of Jack Graney, a Canadian Major League Baseball player and later a pioneering baseball broadcaster.
  • E. John
    John is the given first name of the American Old West outlaw and gunfighter Johnny Ringo.
  • 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 I of Aragon, givenName, John]
Generated description
John I of Aragon was a 14th-century King of Aragon and Count of Barcelona known for his weak rule and conflicts with the nobility.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John I of Aragon was a 14th-century King of Aragon and Count of Barcelona known for his weak rule and conflicts with the nobility.
  • A. John
    John II of Aragon was a 15th-century King of Aragon and Navarre whose reign was marked by dynastic conflicts and the consolidation of Spanish territories.
  • B. John
    John II of Castile was a 15th-century king of Castile whose weak rule was dominated by powerful nobles and favorites, notably Álvaro de Luna.
  • C. 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.
  • D. John
    John III, Duke of Brabant, was a 14th-century nobleman who ruled the Duchy of Brabant and played a significant role in the politics of the Low Countries.
  • E. John
    John I, Count of Holland, was a medieval nobleman who ruled the County of Holland at the turn of the 14th century.
  • 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ff77882c81909774aefc57ccca3e completed April 19, 2026, 4:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03bb4c60f481909f7137c88990afe8 completed May 12, 2026, 11:44 p.m.
NEDg Description generation batch_6a03bbfa0da481908bb0e388dcbe9913 completed May 12, 2026, 11:47 p.m.
NED2 Entity disambiguation (via description) batch_6a03bd6078b88190887a32099fc31db0 completed May 12, 2026, 11:53 p.m.
Created at: April 10, 2026, 10:34 a.m.