Triple

T14813914
Position Surface form Disambiguated ID Type / Status
Subject HMS Sirius E348259 entity
Predicate commandedBy P1407 FINISHED
Object John Hunter
John Hunter was a British Royal Navy officer who later became the second Governor of New South Wales in Australia.
 E1120471 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: [HMS Sirius, commandedBy, John Hunter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Hunter
Context triple: [HMS Sirius, commandedBy, 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. John Hunter
    John Hunter was an influential 18th-century Scottish surgeon and anatomist, often regarded as a founder of modern scientific surgery.
  • C. John Gillon
    John Gillon is the central protagonist of the film "Diggstown," a cunning ex-con and boxing hustler who masterminds an elaborate scheme around a small-town boxing challenge.
  • D. William Hunter
    William Hunter was an 18th-century printer and publisher known for issuing influential Masonic works, including Anderson’s Constitutions of 1723.
  • E. Philip Christison
    Philip Christison was a British Army general who held senior commands in World War II, particularly in Southeast Asia.
  • 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: [HMS Sirius, commandedBy, John Hunter]
Generated description
John Hunter was a British Royal Navy officer who later became the second Governor of New South Wales in Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Hunter
Target entity description: John Hunter was a British Royal Navy officer who later became the second Governor of New South Wales in Australia.
  • A. John Hunter
    John Hunter was a prominent landowner and early settler after whom the Town of Hunter in New York was named.
  • B. John Hunter
    John Hunter was an influential 18th-century Scottish surgeon and anatomist, often regarded as a founder of modern scientific surgery.
  • C. John Gillon
    John Gillon is the central protagonist of the film "Diggstown," a cunning ex-con and boxing hustler who masterminds an elaborate scheme around a small-town boxing challenge.
  • D. William Hunter
    William Hunter was an 18th-century printer and publisher known for issuing influential Masonic works, including Anderson’s Constitutions of 1723.
  • E. Philip Christison
    Philip Christison was a British Army general who held senior commands in World War II, particularly in Southeast Asia.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decfe0e89c81908c0e1fe2bc3ebcfc completed April 14, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24cca0b88190b20a6c7dd77b8146 completed May 8, 2026, 6 p.m.
NEDg Description generation batch_69fe291c69fc8190b29d6d2ca89ce6ec completed May 8, 2026, 6:19 p.m.
NED2 Entity disambiguation (via description) batch_69fe29a093d0819092ae65dc66a3c190 completed May 8, 2026, 6:21 p.m.
Created at: April 10, 2026, 1:48 a.m.