Triple

T12928342
Position Surface form Disambiguated ID Type / Status
Subject Princess Bubblegum E309303 entity
Predicate hasRelative P367 FINISHED
Object Neddy
Neddy is Princess Bubblegum’s timid, jelly-like brother who lives beneath the Candy Kingdom in Adventure Time and powers its infrastructure by producing candy juice.
 E1011126 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: Neddy | Statement: [Princess Bubblegum, hasRelative, Neddy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Neddy
Context triple: [Princess Bubblegum, hasRelative, Neddy]
  • A. Needlenose Ned
    Needlenose Ned is the overenthusiastic insurance salesman Ned Ryerson’s memorable nickname and catchphrase from the film "Groundhog Day."
  • B. Neely
    Neely is the surname of Cam Neely, a former professional ice hockey player and current executive best known for his career with the Boston Bruins.
  • C. Ned
    Ned is a central character in Robert Silverberg’s science fiction novel "The Book of Skulls," one of four college students who seek an ancient order promising immortality at a terrible cost.
  • D. Ned
    Ned is a common English diminutive form of the given name Edward.
  • E. Ned
    Ned is the reflective former spy whose training-school recollections frame and narrate John le Carré’s novel *The Secret Pilgrim*.
  • 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: Neddy
Triple: [Princess Bubblegum, hasRelative, Neddy]
Generated description
Neddy is Princess Bubblegum’s timid, jelly-like brother who lives beneath the Candy Kingdom in Adventure Time and powers its infrastructure by producing candy juice.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Neddy
Target entity description: Neddy is Princess Bubblegum’s timid, jelly-like brother who lives beneath the Candy Kingdom in Adventure Time and powers its infrastructure by producing candy juice.
  • A. Needlenose Ned
    Needlenose Ned is the overenthusiastic insurance salesman Ned Ryerson’s memorable nickname and catchphrase from the film "Groundhog Day."
  • B. Neely
    Neely is the surname of Cam Neely, a former professional ice hockey player and current executive best known for his career with the Boston Bruins.
  • C. Ned
    Ned is a central character in Robert Silverberg’s science fiction novel "The Book of Skulls," one of four college students who seek an ancient order promising immortality at a terrible cost.
  • D. Ned
    Ned is a common English diminutive form of the given name Edward.
  • E. Ned
    Ned is the reflective former spy whose training-school recollections frame and narrate John le Carré’s novel *The Secret Pilgrim*.
  • 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_69d7bdfa933c8190b5a27aa4a08a19b7 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971ec72a48190aceef10630603d2c completed April 10, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af6655e88190ac33567870a947bb completed May 3, 2026, 2:13 a.m.
NEDg Description generation batch_69f6b0660b188190a67bfff73b882d92 completed May 3, 2026, 2:18 a.m.
NED2 Entity disambiguation (via description) batch_69f6b1aa191081908266128776a2147a completed May 3, 2026, 2:23 a.m.
Created at: April 9, 2026, 5:42 p.m.