Triple

T15088890
Position Surface form Disambiguated ID Type / Status
Subject Matthew Johns E360359 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 Johns, givenName, Matthew]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matthew
Context triple: [Matthew Johns, 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 Vassall Jr. was a British civil servant who became notorious as a Soviet spy during the Cold War.
  • C. John
    John is the given name of John W. Mauchly, the American physicist and co-inventor of the ENIAC computer.
  • D. John
    John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
  • E. John
    John is the given name of John Bowen, a British novelist and playwright known for his crime and speculative fiction.
  • 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 Johns, 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00277ea808190be3f002a8316eff1 completed April 15, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae1ba4208190b1e8c55668a1b422 completed May 9, 2026, 3:46 a.m.
NEDg Description generation batch_69feb10161fc81908aef193552ada55b completed May 9, 2026, 3:58 a.m.
NED2 Entity disambiguation (via description) batch_69feb168eac0819098bd76bac6daa838 completed May 9, 2026, 4 a.m.
Created at: April 10, 2026, 3:04 a.m.