Triple

T7558964
Position Surface form Disambiguated ID Type / Status
Subject Bata Shoe Museum E178745 entity
Predicate foundedBy P104 FINISHED
Object Sonja Bata
Sonja Bata was a Canadian businesswoman, philanthropist, and passionate collector whose extensive footwear collection led to the creation of the Bata Shoe Museum in Toronto.
E673591 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: Sonja Bata | Statement: [Bata Shoe Museum, foundedBy, Sonja Bata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sonja Bata
Context triple: [Bata Shoe Museum, foundedBy, Sonja Bata]
  • A. Sonja Zat
    Sonja Zat is the central protagonist of the film "Lantana," around whom the story’s emotional and narrative tensions revolve.
  • B. Sonja Jürgens
    Sonja Jürgens is known primarily as a daughter of the famous Austrian composer and singer Udo Jürgens.
  • C. Gloria Pannka
    Gloria Pannka is an Australian Aboriginal artist renowned for her landscape paintings in the Hermannsburg watercolour tradition.
  • D. Tatiana Behrs
    Tatiana Behrs was a 19th-century Russian noblewoman best known as the sister of Sofya Andreyevna Tolstaya, the wife of writer Leo Tolstoy.
  • E. Zita Johann
    Zita Johann was an Austro-Hungarian-born American stage and film actress best known for her role opposite Boris Karloff in the 1932 horror classic "The Mummy."
  • 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: Sonja Bata
Triple: [Bata Shoe Museum, foundedBy, Sonja Bata]
Generated description
Sonja Bata was a Canadian businesswoman, philanthropist, and passionate collector whose extensive footwear collection led to the creation of the Bata Shoe Museum in Toronto.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sonja Bata
Target entity description: Sonja Bata was a Canadian businesswoman, philanthropist, and passionate collector whose extensive footwear collection led to the creation of the Bata Shoe Museum in Toronto.
  • A. Sonja Zat
    Sonja Zat is the central protagonist of the film "Lantana," around whom the story’s emotional and narrative tensions revolve.
  • B. Sonja Jürgens
    Sonja Jürgens is known primarily as a daughter of the famous Austrian composer and singer Udo Jürgens.
  • C. Gloria Pannka
    Gloria Pannka is an Australian Aboriginal artist renowned for her landscape paintings in the Hermannsburg watercolour tradition.
  • D. Tatiana Behrs
    Tatiana Behrs was a 19th-century Russian noblewoman best known as the sister of Sofya Andreyevna Tolstaya, the wife of writer Leo Tolstoy.
  • E. Zita Johann
    Zita Johann was an Austro-Hungarian-born American stage and film actress best known for her role opposite Boris Karloff in the 1932 horror classic "The Mummy."
  • 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_69c69f2da22c8190a50942ac20af70e8 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8dc7d288190a0d08ba704cc3fc2 completed March 27, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856cc869081909555ae03dec52288 completed March 28, 2026, 10:31 p.m.
NEDg Description generation batch_69c85765d1f48190b171ff87a15c5b74 completed March 28, 2026, 10:34 p.m.
NED2 Entity disambiguation (via description) batch_69c8580963748190b81bd7437259da28 completed March 28, 2026, 10:36 p.m.
Created at: March 27, 2026, 3:50 p.m.