Triple

T16453696
Position Surface form Disambiguated ID Type / Status
Subject Matthews E399617 entity
Predicate hasNotableBearer P458 FINISHED
Object Edward Matthews
Edward Matthews is a relatively common personal name shared by multiple individuals across various professions and historical periods.
 E1228447 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: Edward Matthews | Statement: [Matthews, hasNotableBearer, Edward Matthews]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Edward Matthews
Context triple: [Matthews, hasNotableBearer, Edward Matthews]
  • A. Richard Mathews
    Richard Mathews is an actor known for playing the Time Lord Rassilon in the long-running British science fiction series Doctor Who.
  • B. Carl Mathews
    Carl Mathews is an actor known for his role in the film "Dangerous Passage."
  • C. Thomas Matthews
    Thomas Matthews is a relatively common personal name shared by multiple notable individuals across fields such as sports, politics, and the arts.
  • D. Edward Norris
    Edward Norris was an American film and television actor active primarily in the 1930s and 1940s, known for his supporting roles in Hollywood dramas and crime films.
  • E. George Matthews
    George Matthews is a relatively common personal name shared by multiple individuals across various professions, including politics, sports, and the arts.
  • 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: Edward Matthews
Triple: [Matthews, hasNotableBearer, Edward Matthews]
Generated description
Edward Matthews is a relatively common personal name shared by multiple individuals across various professions and historical periods.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Edward Matthews
Target entity description: Edward Matthews is a relatively common personal name shared by multiple individuals across various professions and historical periods.
  • A. Richard Mathews
    Richard Mathews is an actor known for playing the Time Lord Rassilon in the long-running British science fiction series Doctor Who.
  • B. Carl Mathews
    Carl Mathews is an actor known for his role in the film "Dangerous Passage."
  • C. Thomas Matthews
    Thomas Matthews is a relatively common personal name shared by multiple notable individuals across fields such as sports, politics, and the arts.
  • D. Edward Norris
    Edward Norris was an American film and television actor active primarily in the 1930s and 1940s, known for his supporting roles in Hollywood dramas and crime films.
  • E. George Matthews
    George Matthews is a relatively common personal name shared by multiple individuals across various professions, including politics, sports, and the arts.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32ce259d88190803930051409d72c completed April 18, 2026, 7:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a008a2363208190beb218e633d0627e completed May 10, 2026, 1:37 p.m.
NEDg Description generation batch_6a008c8adc188190adc6e85cc4c9f93a completed May 10, 2026, 1:47 p.m.
NED2 Entity disambiguation (via description) batch_6a008ce668f88190b80dc541262ae0f5 completed May 10, 2026, 1:49 p.m.
Created at: April 10, 2026, 5:10 a.m.