Triple

T21234465
Position Surface form Disambiguated ID Type / Status
Subject John Cadwalader E523306 entity
Predicate givenName P17 FINISHED
Object John
John Cadwalader was an American merchant, soldier, and leader in the Continental Army during the American Revolutionary War.
E1472774 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 Cadwalader, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Cadwalader, givenName, John]
  • A. John
    John is the given name of John Cockcroft, a pioneering British physicist and Nobel laureate known for his work on nuclear physics and particle acceleration.
  • B. John
    John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
  • C. John
    John is the given name of John Williams Walker, an early 19th-century American politician and U.S. Senator from Alabama.
  • D. John
    John is the given first name of the 19th-century English theologian and social reformer Frederick Denison Maurice.
  • 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: [John Cadwalader, givenName, John]
Generated description
John Cadwalader was an American merchant, soldier, and leader in the Continental Army during the American Revolutionary War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John Cadwalader was an American merchant, soldier, and leader in the Continental Army during the American Revolutionary War.
  • A. John
    John is the given name of John Eager Howard, an American Revolutionary War officer and early political leader from Maryland.
  • B. John
    John, better known as Lord Dunmore, was the last royal governor of Virginia whose actions helped spark the American Revolutionary War.
  • C. John
    John is the given name of John André, the British Army officer and spymaster during the American Revolutionary War who was executed for his role in Benedict Arnold’s treason.
  • D. John
    John is the given name of John Trumbull, an American artist best known for his historical paintings of the American Revolutionary War.
  • E. John
    John is the given name of Colonel John Barnwell, an early 18th-century colonial military leader from South Carolina known for his role in conflicts with Native American tribes.
  • 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_69e0b512ad94819087942b2ed925185f completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7351e4b908190bc02f063e3822123 completed April 21, 2026, 8:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0986e49ce481909e11642aebf48e12 completed May 17, 2026, 9:14 a.m.
NEDg Description generation batch_6a09878b38208190964f9bc8f5c40d36 completed May 17, 2026, 9:16 a.m.
NED2 Entity disambiguation (via description) batch_6a09888c04e481908375982a62b8a260 completed May 17, 2026, 9:21 a.m.
Created at: April 16, 2026, 3:46 p.m.