Triple

T16209712
Position Surface form Disambiguated ID Type / Status
Subject John Eyre E393425 entity
Predicate hasGivenName P17 FINISHED
Object John
John is a masculine given name of Hebrew origin, widely used in English-speaking countries and borne by numerous historical, religious, and cultural 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 Eyre, hasGivenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Eyre, hasGivenName, John]
  • A. John
    John is the first name of Pete Ricketts, an American businessman and politician who has served as governor of Nebraska.
  • 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 Sir John Tusa, a prominent British arts administrator and former managing director of the BBC World Service and the Barbican Centre.
  • D. John
    John was a historical Prince of Asturias, the traditional title for the heir apparent to the Spanish throne.
  • E. John
    John III, Duke of Brittany, was a 14th-century French nobleman who ruled the Duchy of Brittany and played a key role in the succession disputes that led to the Breton War of Succession.
  • 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 Eyre, hasGivenName, John]
Generated description
John is a masculine given name of Hebrew origin, widely used in English-speaking countries and borne by numerous historical, religious, and cultural figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is a masculine given name of Hebrew origin, widely used in English-speaking countries and borne by numerous historical, religious, and cultural 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 the influential English philosopher John Locke, a key figure in empiricism and liberal political theory.
  • D. John
    John is the given name of John Houseman, the Romanian-born British-American actor and producer known for his work in film, theater, and radio.
  • E. John
    John is the given name of John Adams, the second president of the United States and a prominent Founding Father.
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e22711e4fc8190bf7a9f0c59b7889f completed April 17, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000787d3fc8190a32d53a177fedb6d completed May 10, 2026, 4:20 a.m.
NEDg Description generation batch_6a000a454dc48190935be6c1543088f1 completed May 10, 2026, 4:32 a.m.
NED2 Entity disambiguation (via description) batch_6a000aaedb5c8190858536fc8285648a completed May 10, 2026, 4:33 a.m.
Created at: April 10, 2026, 5:03 a.m.