Triple

T208464
Position Surface form Disambiguated ID Type / Status
Subject Taro Kono E4660 entity
Predicate givenName P17 FINISHED
Object Taro
Taro is a common Japanese male given name, often written with kanji meaning "eldest son" or similar traditional connotations.
 E33651 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: Taro | Statement: [Taro Kono, givenName, Taro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Taro
Context triple: [Taro Kono, givenName, Taro]
  • A. Tamada
    Tamada is the traditional Georgian toastmaster who leads feasts and orchestrates toasts during the supra, Georgia’s ceremonial banquet.
  • B. Matsubara
    Matsubara is a suburban city in Japan’s Kansai region, located within Osaka Prefecture and forming part of the Osaka metropolitan area.
  • C. Kato
    Kato is the nickname of Kato Svanidze, who was the first wife of Soviet leader Joseph Stalin.
  • D. Tebu
    Tebu is a Saharan ethnic group and language community primarily inhabiting parts of southern Libya, Chad, and Niger.
  • E. Mori
    Mori is a Japanese surname shared by various notable individuals across fields such as entertainment, sports, and politics.
  • 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: Taro
Triple: [Taro Kono, givenName, Taro]
Generated description
Taro is a common Japanese male given name, often written with kanji meaning "eldest son" or similar traditional connotations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Taro
Target entity description: Taro is a common Japanese male given name, often written with kanji meaning "eldest son" or similar traditional connotations.
  • A. Tamada
    Tamada is the traditional Georgian toastmaster who leads feasts and orchestrates toasts during the supra, Georgia’s ceremonial banquet.
  • B. Matsubara
    Matsubara is a suburban city in Japan’s Kansai region, located within Osaka Prefecture and forming part of the Osaka metropolitan area.
  • C. Kato
    Kato is the nickname of Kato Svanidze, who was the first wife of Soviet leader Joseph Stalin.
  • D. Tebu
    Tebu is a Saharan ethnic group and language community primarily inhabiting parts of southern Libya, Chad, and Niger.
  • E. Mori
    Mori is a Japanese surname shared by various notable individuals across fields such as entertainment, sports, and politics.
  • 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_69a25737567c81908f9c505300239181 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25c071fac81908f706d1384281182 completed Feb. 28, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3836ea55c81909135f5f061e47da5 completed March 1, 2026, 12:08 a.m.
NEDg Description generation batch_69a38453dee88190a2b88b147cd826e9 completed March 1, 2026, 12:12 a.m.
NED2 Entity disambiguation (via description) batch_69a384b1c0f48190be08f3a44778548d completed March 1, 2026, 12:13 a.m.
Created at: Feb. 28, 2026, 2:51 a.m.