Triple

T14671916
Position Surface form Disambiguated ID Type / Status
Subject John McCloskey E344533 entity
Predicate givenName P17 FINISHED
Object John
John is a common masculine given name of Hebrew origin, widely used in English-speaking countries and borne by numerous historical and contemporary 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 McCloskey, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John McCloskey, givenName, John]
  • A. John
    John is the husband of Martha Rainsborough.
  • B. John
    John is the given name of John Henry Patterson, an American industrialist and founder of the National Cash Register Company.
  • C. 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.
  • D. John
    John is the given name of John Howard, an Australian politician who served as the 25th Prime Minister of Australia.
  • E. John
    John is the given name of Sir John Woodville, a 15th-century English nobleman associated with the influential Woodville family during the Wars of the Roses.
  • 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 McCloskey, givenName, John]
Generated description
John is a common masculine given name of Hebrew origin, widely used in English-speaking countries and borne by numerous historical and contemporary figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is a common masculine given name of Hebrew origin, widely used in English-speaking countries and borne by numerous historical and contemporary 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 Lennon, the iconic English singer-songwriter and co-founder of The Beatles.
  • 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 the influential English philosopher John Locke, a key figure in empiricism and liberal political theory.
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb55064cc8190b9669d0b2da61825 completed April 14, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf07c7fa88190bb09f2f444d69786 completed May 8, 2026, 2:17 p.m.
NEDg Description generation batch_69fdf2843a1c8190a14f4ac4d3157e05 completed May 8, 2026, 2:26 p.m.
NED2 Entity disambiguation (via description) batch_69fdf35ce9c48190b3a107bda3ffd126 completed May 8, 2026, 2:29 p.m.
Created at: April 10, 2026, 1:27 a.m.