Triple

T17693249
Position Surface form Disambiguated ID Type / Status
Subject Toadie Rebecchi E441087 entity
Predicate hasPet P8711 FINISHED
Object Bob the dog
Bob the dog is the beloved pet of Toadie Rebecchi on the Australian soap opera "Neighbours."
 E1282243 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: Bob the dog | Statement: [Toadie Rebecchi, hasPet, Bob the dog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bob the dog
Context triple: [Toadie Rebecchi, hasPet, Bob the dog]
  • A. Ralph the Dog
    Ralph the Dog is the costumed canine mascot of the Canadian Football League’s Calgary Stampeders, known for entertaining fans at games and team events.
  • B. Beasley the Dog
    Beasley the Dog was the canine actor best known for playing the slobbery Dogue de Bordeaux partner to Tom Hanks in the 1989 film "Turner & Hooch."
  • C. Buster the dog
    Buster the dog is a loyal canine companion and recurring supporting character in The Mystery Series, often aiding the protagonists in their investigations.
  • D. Buddy the Dog
    Buddy the Dog is the golden retriever who played the basketball-playing canine protagonist in the family film "Air Bud."
  • E. Jake the Dog
    Jake the Dog is a magical, shape-shifting dog and one of the two main protagonists of the animated television series Adventure Time.
  • 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: Bob the dog
Triple: [Toadie Rebecchi, hasPet, Bob the dog]
Generated description
Bob the dog is the beloved pet of Toadie Rebecchi on the Australian soap opera "Neighbours."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bob the dog
Target entity description: Bob the dog is the beloved pet of Toadie Rebecchi on the Australian soap opera "Neighbours."
  • A. Ralph the Dog
    Ralph the Dog is the costumed canine mascot of the Canadian Football League’s Calgary Stampeders, known for entertaining fans at games and team events.
  • B. Beasley the Dog
    Beasley the Dog was the canine actor best known for playing the slobbery Dogue de Bordeaux partner to Tom Hanks in the 1989 film "Turner & Hooch."
  • C. Buster the dog
    Buster the dog is a loyal canine companion and recurring supporting character in The Mystery Series, often aiding the protagonists in their investigations.
  • D. Buddy the Dog
    Buddy the Dog is the golden retriever who played the basketball-playing canine protagonist in the family film "Air Bud."
  • E. Jake the Dog
    Jake the Dog is a magical, shape-shifting dog and one of the two main protagonists of the animated television series Adventure Time.
  • 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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47153a5c8819095c36fd414167fb1 completed April 19, 2026, 6:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a022331e1388190b596c7867f1c5b60 completed May 11, 2026, 6:42 p.m.
NEDg Description generation batch_6a022661afd88190b57c338973571cb7 completed May 11, 2026, 6:56 p.m.
NED2 Entity disambiguation (via description) batch_6a022705b76481909f77bedfb9d5d30d completed May 11, 2026, 6:59 p.m.
Created at: April 10, 2026, 10:03 a.m.