Triple

T22737639
Position Surface form Disambiguated ID Type / Status
Subject John Warcup Cornforth E562317 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of John Warcup Cornforth, an Australian–British chemist and Nobel laureate renowned for his work on the stereochemistry of enzyme-catalyzed reactions.
E560387 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 Warcup Cornforth, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Warcup Cornforth, givenName, John]
  • A. John
    John is the given name of John J. Pershing, the famed American general who led the American Expeditionary Forces in World War I.
  • B. John
    John is the given name of John A. Roebling II, an American civil engineer and philanthropist from the prominent Roebling family associated with major bridge construction.
  • 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 is the given name of John Williams Walker, an early 19th-century American politician and U.S. Senator from Alabama.
  • 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 Warcup Cornforth, givenName, John]
Generated description
John is the given name of John Warcup Cornforth, an Australian–British chemist and Nobel laureate renowned for his work on the stereochemistry of enzyme-catalyzed reactions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of John Warcup Cornforth, an Australian–British chemist and Nobel laureate renowned for his work on the stereochemistry of enzyme-catalyzed reactions.
  • A. John chosen
    John is the given name of John Warcup Cornforth, an Australian–British chemist and Nobel laureate known for his work on the stereochemistry of enzyme-catalyzed reactions.
  • B. John
    John is the given name of John Polanyi, a Nobel Prize–winning chemist known for his work on chemical kinetics and reaction dynamics.
  • C. John
    John is the given name of the British biochemist and crystallographer John Kendrew, a Nobel laureate known for determining the structure of myoglobin.
  • D. John
    John is the given name of John B. Fenn, the American chemist and Nobel laureate known for his work in electrospray ionization mass spectrometry.
  • 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.

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_69e245513a5c81908d5cb471b4fc429d completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f179707fd081909aed9b2f62b9f842 completed April 29, 2026, 3:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b8fc608588190ae68dc4eb57f0513 completed May 18, 2026, 10:16 p.m.
NEDg Description generation batch_6a0b92cde5988190817c682bca0cf6b6 completed May 18, 2026, 10:29 p.m.
NED2 Entity disambiguation (via description) batch_6a0b93ae237c8190bc84fcedeec0adc5 completed May 18, 2026, 10:33 p.m.
Created at: April 17, 2026, 3:22 p.m.