Triple

T19446039
Position Surface form Disambiguated ID Type / Status
Subject John Bodkin Adams E486478 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of John Bodkin Adams, a mid-20th-century British physician notorious for his suspected involvement in numerous patient deaths.
E486478 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 Bodkin Adams, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Bodkin Adams, givenName, John]
  • A. John
    John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
  • B. John
    John is the given name of John Eales, the renowned former Australian rugby union captain and World Cup winner.
  • C. John
    John is the given first name of the American Old West outlaw and gunfighter Johnny Ringo.
  • D. John
    John is the given name of John George Graves, a notable British mail-order entrepreneur and philanthropist from Sheffield.
  • E. John
    John Entwistle was the influential English bassist and songwriter best known as a founding member of the rock band The Who.
  • 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 Bodkin Adams, givenName, John]
Generated description
John is the given name of John Bodkin Adams, a mid-20th-century British physician notorious for his suspected involvement in numerous patient deaths.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of John Bodkin Adams, a mid-20th-century British physician notorious for his suspected involvement in numerous patient deaths.
  • A. John chosen
    John is the given name of John Bodkin Adams, a British physician notorious for being suspected of murdering numerous patients in the mid-20th century.
  • B. John
    John is the given name of John Profumo, the British politician best known for the 1963 Profumo affair scandal.
  • C. John
    John is the given name of John Dee, the 16th-century English mathematician, astronomer, and advisor to Queen Elizabeth I known for his work in alchemy and the occult.
  • D. John
    John is the given name of John Graunt, a 17th-century English statistician and demographer known for pioneering work in population statistics.
  • E. John
    John is the given name of English actor and musician John Simm, known for roles in series such as "Life on Mars" and "Doctor Who."
  • 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6338a22608190bb31a1690ca0dab6 completed April 20, 2026, 2:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a073b269ca481908ecc68cfdd4c5d61 completed May 15, 2026, 3:26 p.m.
NEDg Description generation batch_6a073c0a02c8819080b0e71caf65e6fa completed May 15, 2026, 3:30 p.m.
NED2 Entity disambiguation (via description) batch_6a073d0e92d48190880317263fe6e481 completed May 15, 2026, 3:34 p.m.
Created at: April 10, 2026, 1:38 p.m.