Triple

T7167450
Position Surface form Disambiguated ID Type / Status
Subject Metcalf E167106 entity
Predicate hasNotableBearer P458 FINISHED
Object John Metcalf
John Metcalf was an 18th-century English civil engineer and road builder, famously known as "Blind Jack of Knaresborough" for his successful career despite losing his sight.
E674387 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 Metcalf | Statement: [Metcalf, hasNotableBearer, John Metcalf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Metcalf
Context triple: [Metcalf, hasNotableBearer, John Metcalf]
  • A. Edward Talbot
    Edward Talbot was an Anglican clergyman who became the inaugural Bishop of Southwark in the Church of England.
  • B. John Burrows
    John Burrows is a fictional character featured in the 1951 British drama film "Journey into Light."
  • C. Edward Blount
    Edward Blount was a prominent early 17th-century London stationer and publisher best known for co-publishing Shakespeare’s First Folio.
  • D. John Ternouth
    John Ternouth was a 19th-century British sculptor best known for creating the bronze reliefs that adorn Nelson's Column in Trafalgar Square, London.
  • E. Henry Van Brunt
    Henry Van Brunt was a prominent 19th-century American architect known for his influential role in shaping civic and institutional architecture across the United States.
  • 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 Metcalf
Triple: [Metcalf, hasNotableBearer, John Metcalf]
Generated description
John Metcalf was an 18th-century English civil engineer and road builder, famously known as "Blind Jack of Knaresborough" for his successful career despite losing his sight.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John Metcalf
Target entity description: John Metcalf was an 18th-century English civil engineer and road builder, famously known as "Blind Jack of Knaresborough" for his successful career despite losing his sight.
  • A. Edward Talbot
    Edward Talbot was an Anglican clergyman who became the inaugural Bishop of Southwark in the Church of England.
  • B. John Burrows
    John Burrows is a fictional character featured in the 1951 British drama film "Journey into Light."
  • C. Edward Blount
    Edward Blount was a prominent early 17th-century London stationer and publisher best known for co-publishing Shakespeare’s First Folio.
  • D. John Ternouth
    John Ternouth was a 19th-century British sculptor best known for creating the bronze reliefs that adorn Nelson's Column in Trafalgar Square, London.
  • E. Henry Van Brunt
    Henry Van Brunt was a prominent 19th-century American architect known for his influential role in shaping civic and institutional architecture across the United States.
  • 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_69c68888c10c819095e0383020225758 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e85b4410819098c6531229da51d4 completed March 27, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c861296e5c8190aa2a189e71963de9 completed March 28, 2026, 11:15 p.m.
NEDg Description generation batch_69c862466fd481908ea5772e76a88d95 completed March 28, 2026, 11:20 p.m.
NED2 Entity disambiguation (via description) batch_69c862cae0448190859a07db338e1de7 completed March 28, 2026, 11:22 p.m.
Created at: March 27, 2026, 2:48 p.m.