Triple

T12486431
Position Surface form Disambiguated ID Type / Status
Subject Mary Clay Smith Breckinridge E298443 entity
Predicate givenName P17 FINISHED
Object Smith
Smith is a given name that, in this context, forms part of the full name of Mary Clay Smith Breckinridge.
E30542 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: Smith | Statement: [Mary Clay Smith Breckinridge, givenName, Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Smith
Context triple: [Mary Clay Smith Breckinridge, givenName, Smith]
  • A. John
    John is the given name of the late American comedian and actor John Belushi, famed for his work on "Saturday Night Live" and in films like "Animal House" and "The Blues Brothers."
  • B. John
    John Stallworth is a former American football wide receiver best known for his Hall of Fame career with the Pittsburgh Steelers during their 1970s dynasty.
  • C. John
    John I, Count of Holland, was a medieval nobleman who ruled the County of Holland at the turn of the 14th century.
  • D. John
    John Cicero was a late 15th-century Elector of Brandenburg from the House of Hohenzollern who helped consolidate the territory’s political and administrative structures within the Holy Roman Empire.
  • E. John
    John Brabourne was a British film and television producer and peer, known for producing works such as the 1979 adaptation of "Murder on the Orient Express."
  • 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: Smith
Triple: [Mary Clay Smith Breckinridge, givenName, Smith]
Generated description
Smith is a given name that, in this context, forms part of the full name of Mary Clay Smith Breckinridge.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Smith
Target entity description: Smith is a given name that, in this context, forms part of the full name of Mary Clay Smith Breckinridge.
  • A. Smith chosen
    Smith is a common English surname borne by numerous notable individuals across diverse fields such as politics, arts, sports, and academia.
  • B. John
    John is the given name of John Albert William Spencer-Churchill, a British aristocrat and 10th Duke of Marlborough.
  • C. John
    John I, Count of Holland, was a medieval nobleman who ruled the County of Holland at the turn of the 14th century.
  • D. John
    John McDowell is a prominent South African-born philosopher known for his influential work in epistemology, philosophy of mind, and ethics.
  • E. John
    John Cicero was a late 15th-century Elector of Brandenburg from the House of Hohenzollern who helped consolidate the territory’s political and administrative structures within the Holy Roman Empire.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94de077bc81908b5ff057a1bf2b4f completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f2b5ed481909ead4f5b96d44064 completed May 2, 2026, 6:15 p.m.
NEDg Description generation batch_69f6401199408190ad2657802afd93c9 completed May 2, 2026, 6:18 p.m.
NED2 Entity disambiguation (via description) batch_69f6416ba1bc8190a772bffe4d83ec15 completed May 2, 2026, 6:24 p.m.
Created at: April 8, 2026, 9:56 p.m.