Triple

T14677464
Position Surface form Disambiguated ID Type / Status
Subject Sir John Barrow E344683 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of Sir John Barrow, a prominent 19th-century English statesman, writer, and promoter of Arctic exploration.
E1115509 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: [Sir John Barrow, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [Sir John Barrow, 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: [Sir John Barrow, givenName, John]
Generated description
John is the given name of Sir John Barrow, a prominent 19th-century English statesman, writer, and promoter of Arctic exploration.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of Sir John Barrow, a prominent 19th-century English statesman, writer, and promoter of Arctic exploration.
  • A. John
    John is the given name of John Arbuthnot Fisher, a prominent British admiral and naval reformer of the late 19th and early 20th centuries.
  • B. John
    John is the given name of Lord Palmerston, the 19th-century British statesman who served twice as Prime Minister of the United Kingdom.
  • C. John
    John is the given name of John Russell, 1st Earl Russell, a prominent 19th-century British statesman and Prime Minister.
  • D. John
    John is the given name of Sir John Borlase Warren, a prominent British naval officer and politician of the late 18th and early 19th centuries.
  • E. John
    John is the given name of the British Royal Navy officer and Arctic explorer Sir John Franklin, known for his ill-fated 1845 expedition to find the Northwest Passage.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb567c2b88190a9639e61b6fba7df completed April 14, 2026, 9:45 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.