Triple

T6267562
Position Surface form Disambiguated ID Type / Status
Subject Barnaby Rudge E140451 entity
Predicate character P662 FINISHED
Object Joe Willet
Joe Willet is a good-natured but somewhat naive young man who appears as one of the central characters in Charles Dickens’s historical novel "Barnaby Rudge."
 E591597 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: Joe Willet | Statement: [Barnaby Rudge, character, Joe Willet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Joe Willet
Context triple: [Barnaby Rudge, character, Joe Willet]
  • A. Grant Withers
    Grant Withers was an American film actor known for his prolific work in Hollywood from the silent era through the 1950s, often appearing in Westerns and crime dramas.
  • B. Philip Oakes
    Philip Oakes was a British journalist, film critic, and screenwriter active in the mid-20th century.
  • C. Samuel Livermore
    Samuel Livermore was an American lawyer and politician from New Hampshire who served as a U.S. senator and an early leader in the federal government.
  • D. James Harrod
    James Harrod was an American pioneer and early settler credited with founding Harrodsburg, the first permanent English settlement in Kentucky.
  • E. James Warren Sever
    James Warren Sever was a Harvard University alumnus and benefactor after whom the historic Sever Hall in Harvard Yard is named.
  • 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: Joe Willet
Triple: [Barnaby Rudge, character, Joe Willet]
Generated description
Joe Willet is a good-natured but somewhat naive young man who appears as one of the central characters in Charles Dickens’s historical novel "Barnaby Rudge."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Joe Willet
Target entity description: Joe Willet is a good-natured but somewhat naive young man who appears as one of the central characters in Charles Dickens’s historical novel "Barnaby Rudge."
  • A. Grant Withers
    Grant Withers was an American film actor known for his prolific work in Hollywood from the silent era through the 1950s, often appearing in Westerns and crime dramas.
  • B. Philip Oakes
    Philip Oakes was a British journalist, film critic, and screenwriter active in the mid-20th century.
  • C. Samuel Livermore
    Samuel Livermore was an American lawyer and politician from New Hampshire who served as a U.S. senator and an early leader in the federal government.
  • D. James Harrod
    James Harrod was an American pioneer and early settler credited with founding Harrodsburg, the first permanent English settlement in Kentucky.
  • E. James Warren Sever
    James Warren Sever was a Harvard University alumnus and benefactor after whom the historic Sever Hall in Harvard Yard is named.
  • 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_69c008cabc4081909723e2547c9d6cc0 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063a0f2548190a2f5c307bc5a67cf completed March 22, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640a7ef8881909b00ce1f479f0fb4 completed March 27, 2026, 8:32 a.m.
NEDg Description generation batch_69c6417c37a08190821e0a1c1771fa88 completed March 27, 2026, 8:36 a.m.
NED2 Entity disambiguation (via description) batch_69c641d7131481908dd007023327d5a4 completed March 27, 2026, 8:37 a.m.
Created at: March 22, 2026, 4:25 p.m.