Triple

T16022270
Position Surface form Disambiguated ID Type / Status
Subject J. P. Harrington E388630 entity
Predicate givenName P17 FINISHED
Object John
John is the given first name of J. P. Harrington, an American ethnologist and linguist known for his extensive documentation of Native American languages and cultures.
E1189788 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: [J. P. Harrington, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [J. P. Harrington, givenName, John]
  • A. John
    John Vassall Jr. was a British civil servant who became notorious as a Soviet spy during the Cold War.
  • B. John
    John is the given name of John W. Mauchly, the American physicist and co-inventor of the ENIAC computer.
  • 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 Ross is a personal name shared by various notable individuals across history, including leaders, politicians, and public figures.
  • 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: [J. P. Harrington, givenName, John]
Generated description
John is the given first name of J. P. Harrington, an American ethnologist and linguist known for his extensive documentation of Native American languages and cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given first name of J. P. Harrington, an American ethnologist and linguist known for his extensive documentation of Native American languages and cultures.
  • A. John
    John is the given name of Dr. John C. Traphagan, an academic known for his work in anthropology and Japanese studies.
  • B. John
    John is the given name of the historian J. F. C. Harrison, known for his work on British social and intellectual history.
  • C. John
    John is the given name of John Hopfield, an American physicist and neuroscientist known for pioneering work on Hopfield networks in artificial intelligence.
  • D. John
    John is the given name of John R. Pierce, an American engineer and scientist known for his pioneering work in communications and satellite technology.
  • E. John
    John is the given name of the American chemist John F. Hartwig, renowned for his pioneering work in organometallic chemistry and catalysis.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18323fc0881908bab7126d9ccf67d completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf2f7c4c8190b1290ac28aad8cd0 completed May 10, 2026, 12:19 a.m.
NEDg Description generation batch_69ffd065cb948190b0ad7e89a12ce535 completed May 10, 2026, 12:25 a.m.
NED2 Entity disambiguation (via description) batch_69ffd1a52de08190a7b283af83be1f42 completed May 10, 2026, 12:30 a.m.
Created at: April 10, 2026, 4:55 a.m.