Triple

T20502429
Position Surface form Disambiguated ID Type / Status
Subject Matthew Bourne E503338 entity
Predicate givenName P17 FINISHED
Object Matthew
Matthew is a common masculine given name of Hebrew origin, widely used in English-speaking countries.
E556162 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: [Matthew Bourne, givenName, Matthew]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matthew
Context triple: [Matthew Bourne, givenName, Matthew]
  • A. John
    John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
  • B. John
    John is the given name of John Randolph Hearst, a member of the prominent Hearst family associated with American media and publishing.
  • C. John
    John is a given name of William John Robert Cavendish, a British aristocrat and politician from the Cavendish family.
  • D. John
    John of Saxony was a 19th-century King of Saxony known for his constitutional reign and his work as a translator of Dante.
  • E. John
    John is the given name of Sir John Brown of Fordell, a Scottish nobleman and landowner.
  • 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: [Matthew Bourne, givenName, Matthew]
Generated description
Matthew is a common masculine given name of Hebrew origin, widely used in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Matthew
Target entity description: Matthew is a common masculine given name of Hebrew origin, widely used in English-speaking countries.
  • A. Matthew chosen
    Matthew is a masculine given name of Hebrew origin, commonly used in English-speaking countries and meaning "gift of God."
  • B. 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.
  • C. Matthew
    Matthew is the given first name of American actor Ryan Phillippe, known for films like "Cruel Intentions" and "Crash."
  • D. 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.
  • E. Matthew
    Matthew is the full given name of American television journalist and former "Today" show co-host Matt Lauer.
  • F. None of above.

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_69e0b4b1e52c8190894281cf7e3283ab completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69dc272a481909329ecd1560989ef completed April 20, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0893c1a0648190846fc415e5469749 completed May 16, 2026, 3:56 p.m.
NEDg Description generation batch_6a0894753bb08190a9c07a9264b2b292 completed May 16, 2026, 3:59 p.m.
NED2 Entity disambiguation (via description) batch_6a08952b742c8190b00f806ab772e46d completed May 16, 2026, 4:02 p.m.
Created at: April 16, 2026, 11:35 a.m.