Triple

T15036025
Position Surface form Disambiguated ID Type / Status
Subject Matthew Waterhouse E378478 entity
Predicate givenName P17 FINISHED
Object Matthew
Matthew is a masculine given name of Hebrew origin, commonly used in English-speaking countries and 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 Waterhouse, givenName, Matthew]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matthew
Context triple: [Matthew Waterhouse, givenName, Matthew]
  • A. John
    John Perceval, 2nd Earl of Egmont, was an 18th-century British politician and peer who served in both the Irish and British parliaments and held several high offices under King George III.
  • B. John
    John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
  • C. John
    John is the given name of John Randolph Hearst, a member of the prominent Hearst family associated with American media and publishing.
  • D. John
    John Fritz was a prominent American mechanical engineer and steel industry pioneer known as the "Father of the U.S. Steel Industry."
  • E. John
    John is the given name of Admiral Sir John Fieldhouse, a senior Royal Navy officer who served as Chief of the Defence Staff and commanded British forces during the Falklands War.
  • 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 Waterhouse, givenName, Matthew]
Generated description
Matthew is a masculine given name of Hebrew origin, commonly used in English-speaking countries and meaning "gift of God."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Matthew
Target entity description: Matthew is a masculine given name of Hebrew origin, commonly used in English-speaking countries and 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 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 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 first name of American actor Ryan Phillippe, known for films like "Cruel Intentions" and "Crash."
  • E. Matthew
    Matthew is the given name of blues guitarist Matt "Guitar" Murphy, renowned for his work with the Blues Brothers and numerous Chicago blues legends.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded82b29948190acda49cbec3f927a completed April 15, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9ddfc13481909333690016650410 completed May 9, 2026, 2:37 a.m.
NEDg Description generation batch_69fe9e7e12488190972b383d66a2651e completed May 9, 2026, 2:39 a.m.
NED2 Entity disambiguation (via description) batch_69fe9f0dd1ac8190a802e9b388b9c770 completed May 9, 2026, 2:42 a.m.
Created at: April 10, 2026, 2:59 a.m.