Triple

T18710644
Position Surface form Disambiguated ID Type / Status
Subject Mr. Whiskers E457500 entity
Predicate speciesContrastWith P29845 FINISHED
Object Bosco the dog NE NERFINISHED

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: Bosco the dog | Statement: [Mr. Whiskers, speciesContrastWith, Bosco the dog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bosco the dog
Context triple: [Mr. Whiskers, speciesContrastWith, Bosco the dog]
  • A. 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."
  • B. 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.
  • 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. Bob the dog
    Bob the dog is the beloved pet of Toadie Rebecchi on the Australian soap opera "Neighbours."
  • E. Bruno (dog)
    Bruno is the loyal, brown bloodhound-like dog who serves as Cinderella’s faithful companion in Disney’s animated film.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bosco the dog
Target entity description: Bosco the dog is a canine companion character typically contrasted with Mr. Whiskers, often highlighting differences between dogs and other animal species.
  • A. 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."
  • B. 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.
  • 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. Bob the dog
    Bob the dog is the beloved pet of Toadie Rebecchi on the Australian soap opera "Neighbours."
  • E. Bruno (dog)
    Bruno is the loyal, brown bloodhound-like dog who serves as Cinderella’s faithful companion in Disney’s animated film.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: speciesContrastWith
Context triple: [Mr. Whiskers, speciesContrastWith, Bosco the dog]
  • A. someSpeciesAre
    Indicates that at least one member of a specified group or category belongs to, or can be classified as, a particular species.
  • B. contrastsBiotaWith chosen
    Indicates a relationship where one biotic entity or group is explicitly compared to another by highlighting their differences or opposing characteristics.
  • C. speciesType
    Indicates the specific biological species category to which an entity belongs.
  • D. consideredConspecificWith
    Indicates that two organisms are regarded as belonging to the same species or treated as the same species for classification or analysis purposes.
  • E. speciesInGuise
    Indicates that an entity is currently appearing or acting under the guise or form of a particular species, which may differ from its true species.
  • F. None of above.

Provenance (3 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5671b34508190b6180f7d6ad50a58 completed April 19, 2026, 11:36 p.m.
PD Predicate disambiguation batch_69e478e0889c8190a118d67b200ce8ef completed April 19, 2026, 6:40 a.m.
Created at: April 10, 2026, 11:50 a.m.