Triple

T16453703
Position Surface form Disambiguated ID Type / Status
Subject Matthews E399617 entity
Predicate hasNotableBearer P458 FINISHED
Object Walter Matthews
Walter Matthews is a relatively obscure individual whose specific notability is not clearly identifiable from the given information alone.
 E1216080 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: Walter Matthews | Statement: [Matthews, hasNotableBearer, Walter Matthews]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Walter Matthews
Context triple: [Matthews, hasNotableBearer, Walter Matthews]
  • A. William Mathews
    William Mathews was a 19th-century British mountaineer notable for pioneering ascents in the Alps.
  • B. Walter Howard
    Walter Howard is an individual known primarily as a relative of Rome Howard.
  • C. Austin Wright
    Austin Wright was an American novelist and academic best known for his psychological thriller "Tony and Susan," which was later adapted into the film "Nocturnal Animals."
  • D. Walter Parratt
    Walter Parratt was a prominent English organist, composer, and teacher who served as Master of the Queen’s (later King’s) Music in the late 19th and early 20th centuries.
  • E. Walter Hendricks
    Walter Hendricks was an American educator best known as the founder and first president of Marlboro College in Vermont.
  • 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: Walter Matthews
Triple: [Matthews, hasNotableBearer, Walter Matthews]
Generated description
Walter Matthews is a relatively obscure individual whose specific notability is not clearly identifiable from the given information alone.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Walter Matthews
Target entity description: Walter Matthews is a relatively obscure individual whose specific notability is not clearly identifiable from the given information alone.
  • A. William Mathews
    William Mathews was a 19th-century British mountaineer notable for pioneering ascents in the Alps.
  • B. Walter Howard
    Walter Howard is an individual known primarily as a relative of Rome Howard.
  • C. Austin Wright
    Austin Wright was an American novelist and academic best known for his psychological thriller "Tony and Susan," which was later adapted into the film "Nocturnal Animals."
  • D. Walter Parratt
    Walter Parratt was a prominent English organist, composer, and teacher who served as Master of the Queen’s (later King’s) Music in the late 19th and early 20th centuries.
  • E. Walter Hendricks
    Walter Hendricks was an American educator best known as the founder and first president of Marlboro College in Vermont.
  • 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_6a005815efc48190868305f428cb9085 completed May 10, 2026, 10:04 a.m.
NEDg Description generation batch_6a0058b298448190aab32ec1583f7c86 completed May 10, 2026, 10:06 a.m.
NED2 Entity disambiguation (via description) batch_6a00595837c4819093f1a1a35185bc4b completed May 10, 2026, 10:09 a.m.
Created at: April 10, 2026, 5:10 a.m.