Triple

T87000
Position Surface form Disambiguated ID Type / Status
Subject Kato Svanidze E1749 entity
Predicate nickname P55 FINISHED
Object Kato
Kato is the nickname of Kato Svanidze, who was the first wife of Soviet leader Joseph Stalin.
 E13314 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: Kato | Statement: [Kato Svanidze, nickname, Kato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kato
Context triple: [Kato Svanidze, nickname, Kato]
  • A. Yamamoto
    Yamamoto is a Japanese surname most famously associated with Admiral Isoroku Yamamoto, the commander-in-chief of the Imperial Japanese Navy during World War II.
  • B. Hirakata
    Hirakata is a city in Japan located between Osaka and Kyoto, known for its residential suburbs, historical sites, and the popular Hirakata Park amusement park.
  • C. Matsubara
    Matsubara is a suburban city in Japan’s Kansai region, located within Osaka Prefecture and forming part of the Osaka metropolitan area.
  • D. Takatsuki
    Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • E. Tamada
    Tamada is the traditional Georgian toastmaster who leads feasts and orchestrates toasts during the supra, Georgia’s ceremonial banquet.
  • 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: Kato
Triple: [Kato Svanidze, nickname, Kato]
Generated description
Kato is the nickname of Kato Svanidze, who was the first wife of Soviet leader Joseph Stalin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kato
Target entity description: Kato is the nickname of Kato Svanidze, who was the first wife of Soviet leader Joseph Stalin.
  • A. Yamamoto
    Yamamoto is a Japanese surname most famously associated with Admiral Isoroku Yamamoto, the commander-in-chief of the Imperial Japanese Navy during World War II.
  • B. Hirakata
    Hirakata is a city in Japan located between Osaka and Kyoto, known for its residential suburbs, historical sites, and the popular Hirakata Park amusement park.
  • C. Matsubara
    Matsubara is a suburban city in Japan’s Kansai region, located within Osaka Prefecture and forming part of the Osaka metropolitan area.
  • D. Takatsuki
    Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • E. Tamada
    Tamada is the traditional Georgian toastmaster who leads feasts and orchestrates toasts during the supra, Georgia’s ceremonial banquet.
  • 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_69a24c8150408190910a693eb51c1f71 completed Feb. 28, 2026, 2:01 a.m.
NER Named-entity recognition batch_69a24f50e004819083f5bfccd597a312 completed Feb. 28, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2981ed378819099ef3fbff2236a94 completed Feb. 28, 2026, 7:24 a.m.
NEDg Description generation batch_69a298822e7c8190b37a31a9cc19bc54 completed Feb. 28, 2026, 7:25 a.m.
NED2 Entity disambiguation (via description) batch_69a298f38e4881908210642539f15378 completed Feb. 28, 2026, 7:27 a.m.
Created at: Feb. 28, 2026, 2:06 a.m.