Triple

T10851493
Position Surface form Disambiguated ID Type / Status
Subject John Boyd Orr E256155 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of John Boyd Orr, a Scottish nutritionist and politician who won the Nobel Peace Prize for his work on global food policy and security.
E888497 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 Boyd Orr, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Boyd Orr, givenName, John]
  • A. John
    John is traditionally regarded as the author of the New Testament’s Book of Revelation, a prophetic and apocalyptic text in Christian scripture.
  • B. John
    John is the first name of Johnny Evers, a Hall of Fame American Major League Baseball second baseman who starred for the Chicago Cubs in the early 20th century.
  • C. John
    John is the given name of John B. Watson, the influential American psychologist who founded behaviorism.
  • D. John
    John is the given name of John Dustin Archbold, an American oil industry executive and key figure in the early history of Standard Oil.
  • E. John
    John is the given name of John Brisker, an American professional basketball player known for his time in the ABA and NBA and his mysterious disappearance in the 1970s.
  • 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 Boyd Orr, givenName, John]
Generated description
John is the given name of John Boyd Orr, a Scottish nutritionist and politician who won the Nobel Peace Prize for his work on global food policy and security.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of John Boyd Orr, a Scottish nutritionist and politician who won the Nobel Peace Prize for his work on global food policy and security.
  • A. John
    John is the given name of John James Rickard Macleod, the Scottish physiologist and co-recipient of the 1923 Nobel Prize in Physiology or Medicine for the discovery of insulin.
  • 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 John Cockcroft, a pioneering British physicist and Nobel laureate known for his work on nuclear physics and particle acceleration.
  • D. John
    John is the given name of the British biochemist and crystallographer John Kendrew, a Nobel laureate known for determining the structure of myoglobin.
  • E. John
    John is the given name of John Robert Schrieffer, the American physicist and Nobel laureate known for co-developing the BCS theory of superconductivity.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75117b76c8190b0fb216b1428c3c7 completed April 9, 2026, 7:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb0ea2b6481909dfd94fe0c3c4499 completed April 14, 2026, 9:26 p.m.
NEDg Description generation batch_69deb384fb588190ae5d11a60fec0f53 completed April 14, 2026, 9:37 p.m.
NED2 Entity disambiguation (via description) batch_69deb4a2d4c48190a828262b1cc05b37 completed April 14, 2026, 9:41 p.m.
Created at: April 8, 2026, 9:20 p.m.