Triple

T17493694
Position Surface form Disambiguated ID Type / Status
Subject Sir Matthew Lamb, 1st Baronet E425994 entity
Predicate givenName P17 FINISHED
Object Matthew
Matthew is the given name of Sir Matthew Lamb, 1st Baronet, an 18th-century British politician and landowner.
E1271595 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: Matthew | Statement: [Sir Matthew Lamb, 1st Baronet, givenName, Matthew]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matthew
Context triple: [Sir Matthew Lamb, 1st Baronet, givenName, Matthew]
  • A. John
    John is the given name of John D. Rockefeller, the American industrialist and philanthropist who founded Standard Oil and became one of the wealthiest individuals in history.
  • B. John
    John is the given name of John W. Mauchly, the American physicist and co-inventor of the ENIAC computer.
  • C. John
    John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
  • D. John
    John is the given name of John Bowen, a British novelist and playwright known for his crime and speculative fiction.
  • E. John
    John is the given name of Sir John Lennard-Jones, a pioneering British theoretical chemist known for his work on intermolecular forces and the Lennard-Jones potential.
  • 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: Matthew
Triple: [Sir Matthew Lamb, 1st Baronet, givenName, Matthew]
Generated description
Matthew is the given name of Sir Matthew Lamb, 1st Baronet, an 18th-century British politician and landowner.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Matthew
Target entity description: Matthew is the given name of Sir Matthew Lamb, 1st Baronet, an 18th-century British politician and landowner.
  • A. Matthew
    Matthew is the given name of Matt Le Tissier, the renowned former Southampton and England footballer known for his exceptional skill and loyalty to a single club.
  • B. Matthew
    Matthew is the given name of Sir Matt Busby, the legendary Scottish football manager best known for his long and successful tenure at Manchester United.
  • C. Matthew
    Matthew is the given name of the pioneering British Egyptologist and archaeologist Flinders Petrie, renowned for developing systematic excavation and seriation methods.
  • D. Matthew
    Matthew is the middle name of Sir James Matthew Barrie, the Scottish novelist and playwright best known as the creator of Peter Pan.
  • E. Matthew
    Matthew is the full given name of American television journalist and former "Today" show co-host Matt Lauer.
  • 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_69d889dccf7481909264a1844a2e9100 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451d782688190afb76fa080867315 completed April 19, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01c202b7c48190bb2d58a77c8eca80 completed May 11, 2026, 11:48 a.m.
NEDg Description generation batch_6a01c2aa19408190840547b60786cc18 completed May 11, 2026, 11:51 a.m.
NED2 Entity disambiguation (via description) batch_6a01c35d05388190ade7044202781e20 completed May 11, 2026, 11:54 a.m.
Created at: April 10, 2026, 5:48 a.m.