Triple

T13041713
Position Surface form Disambiguated ID Type / Status
Subject A Boy Named Charlie Brown E327208 entity
Predicate voiceActor P1507 FINISHED
Object Andy Pforsich
Andy Pforsich is a voice actor known for his work in the Peanuts animated film "A Boy Named Charlie Brown."
E1102009 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: Andy Pforsich | Statement: [A Boy Named Charlie Brown, voiceActor, Andy Pforsich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andy Pforsich
Context triple: [A Boy Named Charlie Brown, voiceActor, Andy Pforsich]
  • A. Eric Pleskow
    Eric Pleskow was an Austrian-born American film executive and producer best known for leading major studios and co-founding the influential independent film company Orion Pictures.
  • B. Paul Groesse
    Paul Groesse was an Academy Award–winning Hollywood art director known for his work on classic mid-20th-century films.
  • C. Matthew Shafer
    Matthew Shafer is an American writer known for his work on the animated series "Cowboy Bebop" and related projects.
  • D. Matthew Shafer
    Matthew Shafer, better known by his stage name Uncle Kracker, is an American singer-songwriter and musician recognized for his blend of rock, country, and pop influences.
  • E. Kevin Nolting
    Kevin Nolting is an American film editor best known for his work on Pixar animated features, including the Academy Award-winning film "Up."
  • 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: Andy Pforsich
Triple: [A Boy Named Charlie Brown, voiceActor, Andy Pforsich]
Generated description
Andy Pforsich is a voice actor known for his work in the Peanuts animated film "A Boy Named Charlie Brown."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Andy Pforsich
Target entity description: Andy Pforsich is a voice actor known for his work in the Peanuts animated film "A Boy Named Charlie Brown."
  • A. Eric Pleskow
    Eric Pleskow was an Austrian-born American film executive and producer best known for leading major studios and co-founding the influential independent film company Orion Pictures.
  • B. Paul Groesse
    Paul Groesse was an Academy Award–winning Hollywood art director known for his work on classic mid-20th-century films.
  • C. Matthew Shafer
    Matthew Shafer is an American writer known for his work on the animated series "Cowboy Bebop" and related projects.
  • D. Matthew Shafer
    Matthew Shafer, better known by his stage name Uncle Kracker, is an American singer-songwriter and musician recognized for his blend of rock, country, and pop influences.
  • E. Kevin Nolting
    Kevin Nolting is an American film editor best known for his work on Pixar animated features, including the Academy Award-winning film "Up."
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d9804f0318819081516e2ca1de6797 completed April 10, 2026, 10:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d6fde508190865a8e3e391fdf5e completed May 8, 2026, 4:58 a.m.
NEDg Description generation batch_69fd6f53e9e08190b471e1698390f0c8 completed May 8, 2026, 5:06 a.m.
NED2 Entity disambiguation (via description) batch_69fd6fd126a881908baef34c1c013fe1 completed May 8, 2026, 5:08 a.m.
Created at: April 9, 2026, 8:56 p.m.