Triple

T11982563
Position Surface form Disambiguated ID Type / Status
Subject Cinderella’s chateau E285197 entity
Predicate hasResident P6481 FINISHED
Object Bruno (dog)
Bruno is the loyal, brown bloodhound-like dog who serves as Cinderella’s faithful companion in Disney’s animated film.
 E958171 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: Bruno (dog) | Statement: [Cinderella’s chateau, hasResident, Bruno (dog)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bruno (dog)
Context triple: [Cinderella’s chateau, hasResident, Bruno (dog)]
  • A. Bruno the Bear
    Bruno the Bear is the costumed bear mascot that represents Brown University at its athletic events and school functions.
  • B. Bernie the Saint Bernard
    Bernie the Saint Bernard is the costumed canine mascot who represents Siena College at its athletic events and campus activities.
  • C. Buddy the Dog
    Buddy the Dog is the golden retriever who played the basketball-playing canine protagonist in the family film "Air Bud."
  • D. Hector the Bulldog
    Hector the Bulldog is a tough, muscular bulldog character from the Looney Tunes cartoons, often portrayed as a protector of characters like Tweety.
  • E. 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.
  • 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: Bruno (dog)
Triple: [Cinderella’s chateau, hasResident, Bruno (dog)]
Generated description
Bruno is the loyal, brown bloodhound-like dog who serves as Cinderella’s faithful companion in Disney’s animated film.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bruno (dog)
Target entity description: Bruno is the loyal, brown bloodhound-like dog who serves as Cinderella’s faithful companion in Disney’s animated film.
  • A. Bruno the Bear
    Bruno the Bear is the costumed bear mascot that represents Brown University at its athletic events and school functions.
  • B. Bernie the Saint Bernard
    Bernie the Saint Bernard is the costumed canine mascot who represents Siena College at its athletic events and campus activities.
  • C. Buddy the Dog
    Buddy the Dog is the golden retriever who played the basketball-playing canine protagonist in the family film "Air Bud."
  • D. Hector the Bulldog
    Hector the Bulldog is a tough, muscular bulldog character from the Looney Tunes cartoons, often portrayed as a protector of characters like Tweety.
  • E. 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.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903973c848190aac871d6dfecc74b completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4721913108190bd767c671f6484de completed May 1, 2026, 9:27 a.m.
NEDg Description generation batch_69f47b7c5af08190ab0bff1232530a0c completed May 1, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69f47dd51e648190bddd41766221e22d completed May 1, 2026, 10:17 a.m.
Created at: April 8, 2026, 9:46 p.m.