Triple

T2676464
Position Surface form Disambiguated ID Type / Status
Subject Tweety E56471 entity
Predicate hasPetOwner P42149 FINISHED
Object Granny E269712 NE FINISHED

How this triple was built (3 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: Granny | Statement: [Tweety, hasPetOwner, Granny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Granny
Context triple: [Tweety, hasPetOwner, Granny]
  • A. Granny chosen
    Granny is a recurring elderly character in the Looney Tunes cartoons, best known as the kindly but sharp-witted owner of Tweety Bird (and often Sylvester’s exasperated caretaker).
  • B. Granma
    Granma is the small yacht that carried Fidel Castro and his revolutionaries from Mexico to Cuba in 1956, becoming a symbol of the Cuban Revolution.
  • C. Granma
    Granma is the official newspaper of the Communist Party of Cuba, known for disseminating government policies, political commentary, and state-approved news.
  • D. Nannie
    Nannie is a feminine given name, often used as a diminutive or variant of names like Nancy or Anne.
  • E. Grandy
    Grandy is a surname of English origin borne by various notable individuals, including figures in military, political, and entertainment fields.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPetOwner
Context triple: [Tweety, hasPetOwner, Granny]
  • A. hasPetForm
    Indicates that one entity can transform into or assume the form of another entity that is characterized as a pet.
  • B. hasParkOwner
    Indicates that an entity serves as the owner or legal controller of a particular park.
  • C. hasAnimal
    Indicates that one entity possesses, keeps, or is associated with an animal.
  • D. hasAnimalCollection
    Indicates that one entity possesses or maintains a collection or group of animals associated with it.
  • E. hasKeeperHouse
    Indicates that an entity is associated with or assigned to a specific keeper’s house or residence.
  • 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_69ab4a4b13fc81909dfdb3f23da46832 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abda2f7bf88190a1e3103dd014d871 completed March 7, 2026, 7:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf54711881909936ecf850ff6e2e completed March 10, 2026, 5:42 a.m.
PD Predicate disambiguation batch_69abd81ab9d08190b72b6104c6dbc769 completed March 7, 2026, 7:47 a.m.
PDg Predicate description generation batch_69abda2dc5788190b4b83cb9ed08266c completed March 7, 2026, 7:56 a.m.
Created at: March 6, 2026, 9:54 p.m.