Triple

T12453776
Position Surface form Disambiguated ID Type / Status
Subject John Sergeant E297599 entity
Predicate child P120 FINISHED
Object Thomas Sergeant
Thomas Sergeant was the son of English journalist and broadcaster John Sergeant.
E991384 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: Thomas Sergeant | Statement: [John Sergeant, child, Thomas Sergeant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Sergeant
Context triple: [John Sergeant, child, Thomas Sergeant]
  • A. Thomas Sutton
    Thomas Sutton was a wealthy English merchant and philanthropist of the late 16th and early 17th centuries, best known for endowing major charitable institutions including the Charterhouse.
  • B. John Tennent
    John Tennent was a member of the prominent Tennent family associated with early American Presbyterianism and the Great Awakening, known particularly as a brother of influential revivalist preacher Gilbert Tennent.
  • C. Thomas Parkhurst
    Thomas Parkhurst was a 17th-century London bookseller and publisher known for issuing prominent Puritan and religious works.
  • D. William Sutton
    William Sutton is an entrepreneur best known as a founder of the robotics company Rover.
  • E. Thomas Sampson
    Thomas Sampson was a 16th-century English Puritan theologian and churchman known for his role in the early English Reformation and involvement with the Geneva Bible.
  • 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: Thomas Sergeant
Triple: [John Sergeant, child, Thomas Sergeant]
Generated description
Thomas Sergeant was the son of English journalist and broadcaster John Sergeant.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Thomas Sergeant
Target entity description: Thomas Sergeant was the son of English journalist and broadcaster John Sergeant.
  • A. Thomas Sutton
    Thomas Sutton was a wealthy English merchant and philanthropist of the late 16th and early 17th centuries, best known for endowing major charitable institutions including the Charterhouse.
  • B. John Tennent
    John Tennent was a member of the prominent Tennent family associated with early American Presbyterianism and the Great Awakening, known particularly as a brother of influential revivalist preacher Gilbert Tennent.
  • C. Thomas Parkhurst
    Thomas Parkhurst was a 17th-century London bookseller and publisher known for issuing prominent Puritan and religious works.
  • D. William Sutton
    William Sutton is an entrepreneur best known as a founder of the robotics company Rover.
  • E. Thomas Sampson
    Thomas Sampson was a 16th-century English Puritan theologian and churchman known for his role in the early English Reformation and involvement with the Geneva Bible.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94da0b5988190b9df26dd3bb87337 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6556839908190ac0401d373ad0fa9 completed May 2, 2026, 7:50 p.m.
NEDg Description generation batch_69f656a6dafc81908acf59c0ba65189a completed May 2, 2026, 7:55 p.m.
NED2 Entity disambiguation (via description) batch_69f65b4d109c8190b48c71f664e7bb3f completed May 2, 2026, 8:15 p.m.
Created at: April 8, 2026, 9:56 p.m.