Triple

T17506574
Position Surface form Disambiguated ID Type / Status
Subject Penner E426331 entity
Predicate usedBy P260 FINISHED
Object Fred Penner
Fred Penner is a Canadian children’s entertainer, musician, and television host best known for his long-running CBC series "Fred Penner’s Place."
E1272656 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: Fred Penner | Statement: [Penner, usedBy, Fred Penner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fred Penner
Context triple: [Penner, usedBy, Fred Penner]
  • A. John Neufeld
    John Neufeld is a film music orchestrator known for his work on major Hollywood scores, including Disney’s animated feature "Mulan" (1998).
  • B. Eric Lamonsoff
    Eric Lamonsoff is a bumbling yet big-hearted family man and close friend of Lenny Feder in the Grown Ups comedy film series.
  • C. Michael Gillett
    Michael Gillett is a person notable enough to be recognized as a namesake of the surname Gillett.
  • D. Mark Stoermer
    Mark Stoermer is an American musician best known as the longtime bassist for the rock band The Killers.
  • E. Bruce Cowling
    Bruce Cowling was an American film and television actor active in the mid-20th century, known for supporting roles in Hollywood dramas and Westerns.
  • 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: Fred Penner
Triple: [Penner, usedBy, Fred Penner]
Generated description
Fred Penner is a Canadian children’s entertainer, musician, and television host best known for his long-running CBC series "Fred Penner’s Place."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fred Penner
Target entity description: Fred Penner is a Canadian children’s entertainer, musician, and television host best known for his long-running CBC series "Fred Penner’s Place."
  • A. John Neufeld
    John Neufeld is a film music orchestrator known for his work on major Hollywood scores, including Disney’s animated feature "Mulan" (1998).
  • B. Eric Lamonsoff
    Eric Lamonsoff is a bumbling yet big-hearted family man and close friend of Lenny Feder in the Grown Ups comedy film series.
  • C. Michael Gillett
    Michael Gillett is a person notable enough to be recognized as a namesake of the surname Gillett.
  • D. Mark Stoermer
    Mark Stoermer is an American musician best known as the longtime bassist for the rock band The Killers.
  • E. Bruce Cowling
    Bruce Cowling was an American film and television actor active in the mid-20th century, known for supporting roles in Hollywood dramas and Westerns.
  • 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e45258b73c81909db581d4f1d27921 completed April 19, 2026, 3:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01c20cbf8081909227938b324e45fe completed May 11, 2026, 11:48 a.m.
NEDg Description generation batch_6a01c3881f6081908f13c4033933b252 completed May 11, 2026, 11:54 a.m.
NED2 Entity disambiguation (via description) batch_6a01c41859008190b786bdc2c09f24d1 completed May 11, 2026, 11:57 a.m.
Created at: April 10, 2026, 5:48 a.m.