Triple

T9653076
Position Surface form Disambiguated ID Type / Status
Subject Jake and the Never Land Pirates E233382 entity
Predicate featuresCharacter P626 FINISHED
Object Cubby
Cubby is a young, map-carrying pirate and one of Jake’s crewmates in the animated children’s series "Jake and the Never Land Pirates."
 E812344 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: Cubby | Statement: [Jake and the Never Land Pirates, featuresCharacter, Cubby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cubby
Context triple: [Jake and the Never Land Pirates, featuresCharacter, Cubby]
  • A. Cubbie Bear
    Cubbie Bear is the costumed bear mascot of the Iowa Cubs minor league baseball team, entertaining fans at games and community events.
  • B. Picaboo
    Picaboo was the original name of the multimedia messaging app that later became Snapchat.
  • C. Tubby
    Tubby is the nickname of American college basketball coach Tubby Smith, known for leading the University of Kentucky to the 1998 NCAA championship.
  • D. Cobi
    Cobi is the cubist-style Catalan sheepdog character that served as the official mascot of the 1992 Barcelona Summer Olympics.
  • E. Bubs
    Bubs is a casual nickname commonly used for the character Bubbles, often conveying affection or familiarity.
  • 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: Cubby
Triple: [Jake and the Never Land Pirates, featuresCharacter, Cubby]
Generated description
Cubby is a young, map-carrying pirate and one of Jake’s crewmates in the animated children’s series "Jake and the Never Land Pirates."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cubby
Target entity description: Cubby is a young, map-carrying pirate and one of Jake’s crewmates in the animated children’s series "Jake and the Never Land Pirates."
  • A. Cubbie Bear
    Cubbie Bear is the costumed bear mascot of the Iowa Cubs minor league baseball team, entertaining fans at games and community events.
  • B. Picaboo
    Picaboo was the original name of the multimedia messaging app that later became Snapchat.
  • C. Tubby
    Tubby is the nickname of American college basketball coach Tubby Smith, known for leading the University of Kentucky to the 1998 NCAA championship.
  • D. Cobi
    Cobi is the cubist-style Catalan sheepdog character that served as the official mascot of the 1992 Barcelona Summer Olympics.
  • E. Bubs
    Bubs is a casual nickname commonly used for the character Bubbles, often conveying affection or familiarity.
  • 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_69ca848c1ba88190b84b410cd14627fc completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9bb26b748190bc32e2003829b0ec completed April 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18270dee481909c8d2de1fafdaf5b completed April 4, 2026, 9:28 p.m.
NEDg Description generation batch_69d18324756c819089eb7edc107ed8b2 completed April 4, 2026, 9:31 p.m.
NED2 Entity disambiguation (via description) batch_69d1856b88908190a787765e1d8f001f completed April 4, 2026, 9:40 p.m.
Created at: March 30, 2026, 8:13 p.m.