Triple

T6135707
Position Surface form Disambiguated ID Type / Status
Subject Mr. Magoo E136826 entity
Predicate hasRelative P367 FINISHED
Object Waldo
Waldo is Mr. Magoo’s good-natured but often exasperated nephew who frequently appears in the classic Mr. Magoo animated cartoons.
 E570434 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: Waldo | Statement: [Mr. Magoo, hasRelative, Waldo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Waldo
Context triple: [Mr. Magoo, hasRelative, Waldo]
  • A. The Ralph
    The Ralph is a popular nickname for Highmark Stadium, the home field of the NFL’s Buffalo Bills in Orchard Park, New York.
  • B. King Wally
    King Wally is the legendary Australian rugby league playmaker Wally Lewis, renowned as one of the greatest players in the sport’s history.
  • C. Portrait of Wally
    Portrait of Wally is a 1912 expressionist painting by Austrian artist Egon Schiele, renowned both for its intense, intimate depiction of his muse Walburga Neuzil and for its high-profile Nazi-looted art restitution case.
  • D. The Peg
    The Peg is a colloquial nickname for Winnipeg, the capital and largest city of the Canadian province of Manitoba.
  • E. The Mister
    The Mister is a contemporary romance novel by E. L. James, known for its Cinderella-style love story and for being her follow-up to the Fifty Shades series.
  • 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: Waldo
Triple: [Mr. Magoo, hasRelative, Waldo]
Generated description
Waldo is Mr. Magoo’s good-natured but often exasperated nephew who frequently appears in the classic Mr. Magoo animated cartoons.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Waldo
Target entity description: Waldo is Mr. Magoo’s good-natured but often exasperated nephew who frequently appears in the classic Mr. Magoo animated cartoons.
  • A. The Ralph
    The Ralph is a popular nickname for Highmark Stadium, the home field of the NFL’s Buffalo Bills in Orchard Park, New York.
  • B. King Wally
    King Wally is the legendary Australian rugby league playmaker Wally Lewis, renowned as one of the greatest players in the sport’s history.
  • C. Portrait of Wally
    Portrait of Wally is a 1912 expressionist painting by Austrian artist Egon Schiele, renowned both for its intense, intimate depiction of his muse Walburga Neuzil and for its high-profile Nazi-looted art restitution case.
  • D. The Peg
    The Peg is a colloquial nickname for Winnipeg, the capital and largest city of the Canadian province of Manitoba.
  • E. The Mister
    The Mister is a contemporary romance novel by E. L. James, known for its Cinderella-style love story and for being her follow-up to the Fifty Shades series.
  • 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_69c008a179388190a3b5a081bbf46d55 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c80a6088190a028967b682fed2b completed March 22, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135e22b9481908e6023d1b0a5d0fd completed March 23, 2026, 12:45 p.m.
NEDg Description generation batch_69c136545e788190a988f19d5d20c1a4 completed March 23, 2026, 12:47 p.m.
NED2 Entity disambiguation (via description) batch_69c136e1615c8190bcc33362b1182a2f completed March 23, 2026, 12:49 p.m.
Created at: March 22, 2026, 4:15 p.m.