Triple

T13621337
Position Surface form Disambiguated ID Type / Status
Subject Matthew Romano E325461 entity
Predicate givenName P17 FINISHED
Object Matthew
Matthew is a common masculine given name of Hebrew origin, meaning "gift of God."
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 Romano, givenName, Matthew]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matthew
Context triple: [Matthew Romano, 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 the given name of John Albert William Spencer-Churchill, a British aristocrat and 10th Duke of Marlborough.
  • D. John
    John is the given name of John Kennedy Toole, the American novelist best known for his posthumously published comic masterpiece "A Confederacy of Dunces."
  • E. John
    John is the given name of John Wodehouse, 1st Earl of Kimberley, a prominent 19th-century British Liberal politician and statesman.
  • 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 Romano, givenName, Matthew]
Generated description
Matthew is a common masculine given name of Hebrew origin, meaning "gift of God."
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, meaning "gift of God."
  • 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 first name of American actor Ryan Phillippe, known for films like "Cruel Intentions" and "Crash."
  • C. 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.
  • D. Matthew
    Matthew is the given name of the pioneering British Egyptologist and archaeologist Flinders Petrie, renowned for developing systematic excavation and seriation methods.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0b0c9008190836242da2d6a8cbe completed April 12, 2026, 2:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77fa291f48190a0ee7a228ea303bc completed May 3, 2026, 5:02 p.m.
NEDg Description generation batch_69f780a8f3fc8190b3fce40e2de318af completed May 3, 2026, 5:06 p.m.
NED2 Entity disambiguation (via description) batch_69f7812aa15081909793181722f9d442 completed May 3, 2026, 5:08 p.m.
Created at: April 9, 2026, 9:50 p.m.