Triple

T12945616
Position Surface form Disambiguated ID Type / Status
Subject May Gibbs E309753 entity
Predicate hasCharacter P2308 FINISHED
Object Cuddlepie
Cuddlepie is a beloved gumnut child character from Australian author May Gibbs’ classic children’s books, notably "Snugglepot and Cuddlepie."
E1010556 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: Cuddlepie | Statement: [May Gibbs, hasCharacter, Cuddlepie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cuddlepie
Context triple: [May Gibbs, hasCharacter, Cuddlepie]
  • A. Cinnamoroll
    Cinnamoroll is a popular Sanrio character, a white puppy with long ears and a curly tail who often appears in cute, whimsical merchandise and media.
  • B. Cutee B
    Cutee B is a French DJ and producer known for his collaborations and remixes in the house music scene, including work with Bob Sinclar.
  • C. Pookie
    Pookie is a tragic, crack-addicted informant character from the 1991 crime film "New Jack City," portrayed by Chris Rock.
  • D. Cobi
    Cobi is the cubist-style Catalan sheepdog character that served as the official mascot of the 1992 Barcelona Summer Olympics.
  • E. Bunny
    Bunny is a supporting character in the psychological thriller film "Don't Worry Darling," portrayed as a seemingly content housewife whose role becomes more complex as the story’s unsettling reality is revealed.
  • 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: Cuddlepie
Triple: [May Gibbs, hasCharacter, Cuddlepie]
Generated description
Cuddlepie is a beloved gumnut child character from Australian author May Gibbs’ classic children’s books, notably "Snugglepot and Cuddlepie."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cuddlepie
Target entity description: Cuddlepie is a beloved gumnut child character from Australian author May Gibbs’ classic children’s books, notably "Snugglepot and Cuddlepie."
  • A. Cinnamoroll
    Cinnamoroll is a popular Sanrio character, a white puppy with long ears and a curly tail who often appears in cute, whimsical merchandise and media.
  • B. Cutee B
    Cutee B is a French DJ and producer known for his collaborations and remixes in the house music scene, including work with Bob Sinclar.
  • C. Pookie
    Pookie is a tragic, crack-addicted informant character from the 1991 crime film "New Jack City," portrayed by Chris Rock.
  • D. Cobi
    Cobi is the cubist-style Catalan sheepdog character that served as the official mascot of the 1992 Barcelona Summer Olympics.
  • E. Bunny
    Bunny is a supporting character in the psychological thriller film "Don't Worry Darling," portrayed as a seemingly content housewife whose role becomes more complex as the story’s unsettling reality is revealed.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e1b3694819098527dcea3cfed93 completed April 10, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af75bc04819098d98c47fca48ac9 completed May 3, 2026, 2:14 a.m.
NEDg Description generation batch_69f6b02e3b9881909387c1f70176a1bd completed May 3, 2026, 2:17 a.m.
NED2 Entity disambiguation (via description) batch_69f6b11ced30819090f67a0b1e1369aa completed May 3, 2026, 2:21 a.m.
Created at: April 9, 2026, 5:43 p.m.