Triple

T8440541
Position Surface form Disambiguated ID Type / Status
Subject John Hannah E199340 entity
Predicate givenName 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 Hannah, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Hannah, givenName, John]
  • A. John
    John is the given name of Sir John Anderson, a British civil servant and politician who played a key role in government during the early 20th century.
  • B. John
    John J. Raskob was an American businessman and financier best known for his executive role at General Motors and for financing and promoting the construction of the Empire State Building.
  • C. 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.
  • D. John
    John is the given first name of J. Presper Eckert, the American electrical engineer and co-inventor of the ENIAC computer.
  • E. John
    John is the given name of John Francis Dodge, an American automobile pioneer and co-founder of the Dodge Brothers Company.
  • 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 Hannah, givenName, 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 the given name of the influential English philosopher John Locke, a key figure in empiricism and liberal political theory.
  • C. 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.
  • D. John
    John is the given name of John Lennon, the iconic English singer-songwriter and co-founder of The Beatles.
  • E. John
    John is the given name of John Proctor, a historical figure best known as a farmer executed during the Salem witch trials and later popularized as a central character in Arthur Miller’s play "The Crucible."
  • 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_69ca8314cd6c8190a6b8c2a1096e18f3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe138a94081908e306d22aaa39b24 completed March 31, 2026, 2:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce399e8efc8190ad6fa8a6cf91797c completed April 2, 2026, 9:40 a.m.
NEDg Description generation batch_69ce3b31397c81908c9ae4d19095b66d completed April 2, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_69ce3bbf0eb481908e48c8b2eada1f16 completed April 2, 2026, 9:49 a.m.
Created at: March 30, 2026, 6:08 p.m.