Triple

T7377619
Position Surface form Disambiguated ID Type / Status
Subject Toyotomi Tsurumatsu E170166 entity
Predicate givenName P17 FINISHED
Object Tsurumatsu
Tsurumatsu was the short-lived son and heir of Japanese warlord Toyotomi Hideyoshi during the late Sengoku period.
E690710 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: Tsurumatsu | Statement: [Toyotomi Tsurumatsu, givenName, Tsurumatsu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tsurumatsu
Context triple: [Toyotomi Tsurumatsu, givenName, Tsurumatsu]
  • A. Ichigaya
    Ichigaya is a central Tokyo district known for its major railway station, government and educational institutions, and proximity to the Imperial Palace area.
  • B. Takamado
    Takamado is a Japanese imperial family name most prominently associated with the late Prince Takamado and his descendants, a branch of Japan’s royal household.
  • C. Yasuji
    Yasuji is a Japanese given name commonly used for males and borne by various notable figures in Japan.
  • D. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • E. Yamakita
    Yamakita is a rural town in Kanagawa Prefecture, Japan, known for its mountainous terrain, hot springs, and access to outdoor activities such as hiking and river sports.
  • 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: Tsurumatsu
Triple: [Toyotomi Tsurumatsu, givenName, Tsurumatsu]
Generated description
Tsurumatsu was the short-lived son and heir of Japanese warlord Toyotomi Hideyoshi during the late Sengoku period.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tsurumatsu
Target entity description: Tsurumatsu was the short-lived son and heir of Japanese warlord Toyotomi Hideyoshi during the late Sengoku period.
  • A. Ichigaya
    Ichigaya is a central Tokyo district known for its major railway station, government and educational institutions, and proximity to the Imperial Palace area.
  • B. Takamado
    Takamado is a Japanese imperial family name most prominently associated with the late Prince Takamado and his descendants, a branch of Japan’s royal household.
  • C. Yasuji
    Yasuji is a Japanese given name commonly used for males and borne by various notable figures in Japan.
  • D. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • E. Yamakita
    Yamakita is a rural town in Kanagawa Prefecture, Japan, known for its mountainous terrain, hot springs, and access to outdoor activities such as hiking and river sports.
  • 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_69c68a5bfaac81909ce7f001dfb70c76 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1aa12888190b81e37b9fcd2adc0 completed March 27, 2026, 9:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c941f469c881908e83cfd6c8191af1 completed March 29, 2026, 3:15 p.m.
NEDg Description generation batch_69c945f81a708190a5c83f0f6a8f6a71 completed March 29, 2026, 3:32 p.m.
NED2 Entity disambiguation (via description) batch_69c9466cb89c8190ae4a045290d1964a completed March 29, 2026, 3:34 p.m.
Created at: March 27, 2026, 3:07 p.m.