Triple

T9653171
Position Surface form Disambiguated ID Type / Status
Subject Bluey E233384 entity
Predicate mainCharacter P1183 FINISHED
Object Bingo Heeler
Bingo Heeler is Bluey’s younger red heeler sister in the Australian animated children’s series "Bluey," known for her sweet, sensitive, and imaginative personality.
 E812362 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: Bingo Heeler | Statement: [Bluey, mainCharacter, Bingo Heeler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bingo Heeler
Context triple: [Bluey, mainCharacter, Bingo Heeler]
  • A. Merle
    Merle is a given name most famously associated with American country music legend Merle Haggard.
  • B. Shepshed
    Shepshed is a town in the English East Midlands known historically for its textile industry and now as a residential community near Loughborough in Leicestershire.
  • C. Basset
    Basset is a surname and term most commonly associated with the Basset Hound dog breed and with various historical families and individuals bearing that name.
  • D. Duke Dog
    Duke Dog is the costumed canine mascot that represents James Madison University at its athletic events and campus activities.
  • E. Shep
    Shep is the station code used to identify Sheppard–Yonge station in the Toronto subway system.
  • 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: Bingo Heeler
Triple: [Bluey, mainCharacter, Bingo Heeler]
Generated description
Bingo Heeler is Bluey’s younger red heeler sister in the Australian animated children’s series "Bluey," known for her sweet, sensitive, and imaginative personality.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bingo Heeler
Target entity description: Bingo Heeler is Bluey’s younger red heeler sister in the Australian animated children’s series "Bluey," known for her sweet, sensitive, and imaginative personality.
  • A. Merle
    Merle is a given name most famously associated with American country music legend Merle Haggard.
  • B. Shepshed
    Shepshed is a town in the English East Midlands known historically for its textile industry and now as a residential community near Loughborough in Leicestershire.
  • C. Basset
    Basset is a surname and term most commonly associated with the Basset Hound dog breed and with various historical families and individuals bearing that name.
  • D. Duke Dog
    Duke Dog is the costumed canine mascot that represents James Madison University at its athletic events and campus activities.
  • E. Shep
    Shep is the station code used to identify Sheppard–Yonge station in the Toronto subway system.
  • 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.