Triple

T3052834
Position Surface form Disambiguated ID Type / Status
Subject Peanuts E60410 entity
Predicate hasCharacter P2308 FINISHED
Object Patty
Patty is a supporting character in the Peanuts comic strip, known as one of the original children in Charlie Brown’s neighborhood.
 E327207 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: Patty | Statement: [Peanuts, hasCharacter, Patty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Patty
Context triple: [Peanuts, hasCharacter, Patty]
  • A. Patricia
    Patricia is a feminine given name of Latin origin, commonly used in English-speaking countries.
  • B. Peggy
    Peggy is a common diminutive or nickname for the given name Margaret.
  • C. Polly Parrish
    Polly Parrish is the main character in the 1939 romantic comedy film "Bachelor Mother," portrayed as a salesgirl who becomes entangled in comedic misunderstandings after being mistaken for an abandoned baby's mother.
  • D. Judy
    "Judy" is a 2019 biographical drama film in which Renée Zellweger portrays legendary entertainer Judy Garland during her final years, a role that earned her widespread acclaim and major acting awards.
  • E. Barbara
    Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
  • 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: Patty
Triple: [Peanuts, hasCharacter, Patty]
Generated description
Patty is a supporting character in the Peanuts comic strip, known as one of the original children in Charlie Brown’s neighborhood.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Patty
Target entity description: Patty is a supporting character in the Peanuts comic strip, known as one of the original children in Charlie Brown’s neighborhood.
  • A. Patricia
    Patricia is a feminine given name of Latin origin, commonly used in English-speaking countries.
  • B. Peggy
    Peggy is a common diminutive or nickname for the given name Margaret.
  • C. Polly Parrish
    Polly Parrish is the main character in the 1939 romantic comedy film "Bachelor Mother," portrayed as a salesgirl who becomes entangled in comedic misunderstandings after being mistaken for an abandoned baby's mother.
  • D. Judy
    "Judy" is a 2019 biographical drama film in which Renée Zellweger portrays legendary entertainer Judy Garland during her final years, a role that earned her widespread acclaim and major acting awards.
  • E. Barbara
    Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
  • 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_69ad8578137c81908259dcb27c7d6d7c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9bf3c52c8190bbe8e5cb98c21715 completed March 8, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2034c337481909c1b1ae304b89c24 completed March 12, 2026, 12:05 a.m.
NEDg Description generation batch_69b20482147c8190852110e01c0988f3 completed March 12, 2026, 12:10 a.m.
NED2 Entity disambiguation (via description) batch_69b205d86ab0819084a352c0b634a026 completed March 12, 2026, 12:16 a.m.
Created at: March 8, 2026, 3:01 p.m.