Triple

T13008135
Position Surface form Disambiguated ID Type / Status
Subject Snoopy E322339 entity
Predicate hasSibling P363 FINISHED
Object Belle
Belle is Snoopy’s sweet-natured, bow-wearing sister from the Peanuts comic strip created by Charles M. Schulz.
E1015991 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: Belle | Statement: [Snoopy, hasSibling, Belle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belle
Context triple: [Snoopy, hasSibling, Belle]
  • A. Belle
    Belle is a supporting character in the 2018 heist thriller film "Widows," involved in the criminal plot led by a group of women in Chicago.
  • B. Belle
    Belle is a British television drama film featuring Thomas Geoffrey Wilkinson in a prominent role.
  • C. Belle
    Belle is the intelligent, book-loving heroine of Disney’s "Beauty and the Beast," known for her compassion, independence, and iconic yellow ball gown.
  • D. Belle
    Belle is the official mascot character representing Bennett College and its community spirit.
  • E. Belle
    Belle is the given name of Belle W. Baruch, an American philanthropist, conservationist, and heiress to the Baruch family fortune.
  • 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: Belle
Triple: [Snoopy, hasSibling, Belle]
Generated description
Belle is Snoopy’s sweet-natured, bow-wearing sister from the Peanuts comic strip created by Charles M. Schulz.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Belle
Target entity description: Belle is Snoopy’s sweet-natured, bow-wearing sister from the Peanuts comic strip created by Charles M. Schulz.
  • A. Belle
    Belle is the intelligent, book-loving heroine of Disney’s "Beauty and the Beast," known for her compassion, independence, and iconic yellow ball gown.
  • B. Belle
    Belle is the official mascot character representing Bennett College and its community spirit.
  • C. Belle
    Belle is the given name of Belle W. Baruch, an American philanthropist, conservationist, and heiress to the Baruch family fortune.
  • D. Belle
    Belle Roosevelt was an American socialite and member of the prominent Roosevelt family in the late 19th and early 20th centuries.
  • E. Belle
    Belle is a supporting character in the 2018 heist thriller film "Widows," involved in the criminal plot led by a group of women in Chicago.
  • 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e9cf0108190b02f498c6ccc91f8 completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c10bb13481909650432d5c1f5872 completed May 3, 2026, 3:29 a.m.
NEDg Description generation batch_69f6c381072c819080a9e92add50c780 completed May 3, 2026, 3:39 a.m.
NED2 Entity disambiguation (via description) batch_69f6c43f62c0819092c2f5090bf7fd51 completed May 3, 2026, 3:42 a.m.
Created at: April 9, 2026, 8:48 p.m.