Triple

T15031685
Position Surface form Disambiguated ID Type / Status
Subject Paddington Bear E378367 entity
Predicate illustrator P9707 FINISHED
Object Peggy Fortnum
Peggy Fortnum was a British artist best known for creating the original, iconic pen-and-ink illustrations of Michael Bond’s Paddington Bear books.
 E1146097 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: Peggy Fortnum | Statement: [Paddington Bear, illustrator, Peggy Fortnum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Peggy Fortnum
Context triple: [Paddington Bear, illustrator, Peggy Fortnum]
  • A. Peggy Palmer
    Peggy Palmer is one of the children of legendary American professional golfer Arnold Palmer.
  • B. Peg Fenwick
    Peg Fenwick was an American screenwriter best known for her work on mid-20th-century Hollywood melodramas.
  • C. Peggy Lloyd
    Peggy Lloyd was an American stage actress and director known for her work in early 20th-century theater and as the wife and collaborator of actor Harold Lloyd.
  • D. Margaret Pumphrey
    Margaret Pumphrey was the wife of British-born American actor Victor McLaglen, an Academy Award–winning star of early 20th-century cinema.
  • E. Peggy Holmes
    Peggy Holmes is an American film director and choreographer known for her work on animated features such as "Luck" and several DisneyToon Studios films.
  • 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: Peggy Fortnum
Triple: [Paddington Bear, illustrator, Peggy Fortnum]
Generated description
Peggy Fortnum was a British artist best known for creating the original, iconic pen-and-ink illustrations of Michael Bond’s Paddington Bear books.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Peggy Fortnum
Target entity description: Peggy Fortnum was a British artist best known for creating the original, iconic pen-and-ink illustrations of Michael Bond’s Paddington Bear books.
  • A. Peggy Palmer
    Peggy Palmer is one of the children of legendary American professional golfer Arnold Palmer.
  • B. Peg Fenwick
    Peg Fenwick was an American screenwriter best known for her work on mid-20th-century Hollywood melodramas.
  • C. Peggy Lloyd
    Peggy Lloyd was an American stage actress and director known for her work in early 20th-century theater and as the wife and collaborator of actor Harold Lloyd.
  • D. Margaret Pumphrey
    Margaret Pumphrey was the wife of British-born American actor Victor McLaglen, an Academy Award–winning star of early 20th-century cinema.
  • E. Peggy Holmes
    Peggy Holmes is an American film director and choreographer known for her work on animated features such as "Luck" and several DisneyToon Studios films.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7e2416081908dfba48d7f7b4a84 completed April 15, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69fee5e0ed148190bd357be922fe8319 completed May 9, 2026, 7:44 a.m.
NEDg Description generation batch_69fee6db0e30819080ac51f35adb64d5 completed May 9, 2026, 7:48 a.m.
NED2 Entity disambiguation (via description) batch_69fee74980a48190ae6054c3feabcf0e completed May 9, 2026, 7:50 a.m.
Created at: April 10, 2026, 2:59 a.m.