Triple

T4491678
Position Surface form Disambiguated ID Type / Status
Subject Division of Hunter E100589 entity
Predicate namedAfter P63 FINISHED
Object John Hunter
John Hunter was an influential 18th-century Scottish surgeon and anatomist, often regarded as a founder of modern scientific surgery.
 E446829 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 Hunter | Statement: [Division of Hunter, namedAfter, John Hunter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Hunter
Context triple: [Division of Hunter, namedAfter, John Hunter]
  • A. John Hunter
    John Hunter was a prominent landowner and early settler after whom the Town of Hunter in New York was named.
  • B. Philip Christison
    Philip Christison was a British Army general who held senior commands in World War II, particularly in Southeast Asia.
  • C. Charles Jackson
    Charles Jackson was an American novelist best known for his 1944 novel "The Lost Weekend," a groundbreaking portrayal of alcoholism.
  • D. Richard Sharp
    Richard Sharp is a British businessman and former investment banker best known for serving as chairman of the BBC.
  • E. Lord William Hunter
    Lord William Hunter was a British judge and colonial administrator best known for leading the Hunter Commission that investigated the 1919 Jallianwala Bagh massacre in India.
  • 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 Hunter
Triple: [Division of Hunter, namedAfter, John Hunter]
Generated description
John Hunter was an influential 18th-century Scottish surgeon and anatomist, often regarded as a founder of modern scientific surgery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Hunter
Target entity description: John Hunter was an influential 18th-century Scottish surgeon and anatomist, often regarded as a founder of modern scientific surgery.
  • A. John Hunter
    John Hunter was a prominent landowner and early settler after whom the Town of Hunter in New York was named.
  • B. Philip Christison
    Philip Christison was a British Army general who held senior commands in World War II, particularly in Southeast Asia.
  • C. Charles Jackson
    Charles Jackson was an American novelist best known for his 1944 novel "The Lost Weekend," a groundbreaking portrayal of alcoholism.
  • D. Richard Sharp
    Richard Sharp is a British businessman and former investment banker best known for serving as chairman of the BBC.
  • E. Lord William Hunter
    Lord William Hunter was a British judge and colonial administrator best known for leading the Hunter Commission that investigated the 1919 Jallianwala Bagh massacre in India.
  • 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_69bd43cdf15081909a4fa2585ff63b3e completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd556f99b48190ae60506a35b43c29 completed March 20, 2026, 2:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd67b40fd4819098636b6f29304312 completed March 20, 2026, 3:28 p.m.
NEDg Description generation batch_69bd688e84fc8190a8900be40e3cf694 completed March 20, 2026, 3:32 p.m.
NED2 Entity disambiguation (via description) batch_69bd69bcf10c8190bd6ceb6bc604b3f5 completed March 20, 2026, 3:37 p.m.
Created at: March 20, 2026, 12:59 p.m.