Triple

T8431896
Position Surface form Disambiguated ID Type / Status
Subject The Lion Guard E199132 entity
Predicate mainCharacter P1183 FINISHED
Object Bunga
Bunga is a brave and energetic honey badger who serves as the comedic yet fearless member of the Lion Guard in the Disney Junior series.
E732772 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: Bunga | Statement: [The Lion Guard, mainCharacter, Bunga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bunga
Context triple: [The Lion Guard, mainCharacter, Bunga]
  • A. Hoa
    The Hoa are an ethnic Chinese minority community in Vietnam, particularly concentrated in the Mekong Delta and major urban centers.
  • B. Jasmine
    Jasmine is the independent and strong-willed princess of Agrabah from Disney's Aladdin, known for challenging tradition and seeking freedom beyond palace walls.
  • C. Jasmine
    Jasmine is a popular behavior-driven development (BDD) testing framework for JavaScript, commonly used for unit testing in both browser and Node.js environments.
  • D. Jasmine
    Jasmine is a feminine given name commonly associated with the fragrant white flower and used in various cultures around the world.
  • E. Rosa Bud
    Rosa Bud is a central character in Charles Dickens's unfinished novel "The Mystery of Edwin Drood," portrayed as Edwin Drood's fiancée and the object of obsessive desire and conflict.
  • 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: Bunga
Triple: [The Lion Guard, mainCharacter, Bunga]
Generated description
Bunga is a brave and energetic honey badger who serves as the comedic yet fearless member of the Lion Guard in the Disney Junior series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bunga
Target entity description: Bunga is a brave and energetic honey badger who serves as the comedic yet fearless member of the Lion Guard in the Disney Junior series.
  • A. Hoa
    The Hoa are an ethnic Chinese minority community in Vietnam, particularly concentrated in the Mekong Delta and major urban centers.
  • B. Jasmine
    Jasmine is the independent and strong-willed princess of Agrabah from Disney's Aladdin, known for challenging tradition and seeking freedom beyond palace walls.
  • C. Jasmine
    Jasmine is a popular behavior-driven development (BDD) testing framework for JavaScript, commonly used for unit testing in both browser and Node.js environments.
  • D. Jasmine
    Jasmine is a feminine given name commonly associated with the fragrant white flower and used in various cultures around the world.
  • E. Rosa Bud
    Rosa Bud is a central character in Charles Dickens's unfinished novel "The Mystery of Edwin Drood," portrayed as Edwin Drood's fiancée and the object of obsessive desire and conflict.
  • 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_69ca8313c99081909a5c6d83b91de5b3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbd1a4876c81908d5a708bb1f35683 completed March 31, 2026, 1:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce038902308190bff57c9ce14e72ed completed April 2, 2026, 5:50 a.m.
NEDg Description generation batch_69ce07851c4081909a9468a386035bb2 completed April 2, 2026, 6:07 a.m.
NED2 Entity disambiguation (via description) batch_69ce07ec00248190bb10fee54265c7f9 completed April 2, 2026, 6:08 a.m.
Created at: March 30, 2026, 6:07 p.m.