Triple

T8837595
Position Surface form Disambiguated ID Type / Status
Subject Yodo-dono E210304 entity
Predicate alsoKnownAs P39 FINISHED
Object Yodogimi
Yodogimi was a prominent late-Sengoku and early Edo period noblewoman of Japan, best known as the favored consort of Toyotomi Hideyoshi and the mother of his heir, Toyotomi Hideyori.
 E849050 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: Yodogimi | Statement: [Yodo-dono, alsoKnownAs, Yodogimi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yodogimi
Context triple: [Yodo-dono, alsoKnownAs, Yodogimi]
  • A. Yachimun
    Yachimun is the traditional Okinawan pottery style known for its rustic forms, vivid glazes, and deep roots in Ryukyuan culture and craftsmanship.
  • B. Kumaiwa
    Kumaiwa is a small settlement located on Butaritari Atoll in the island nation of Kiribati in the central Pacific Ocean.
  • C. Yoboki
    Yoboki is a small town in Djibouti located within the Dikhil Region, known for its arid landscape and role as a local administrative and trading center.
  • D. Takamikura
    Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
  • E. Kamiyama
    Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
  • 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: Yodogimi
Triple: [Yodo-dono, alsoKnownAs, Yodogimi]
Generated description
Yodogimi was a prominent late-Sengoku and early Edo period noblewoman of Japan, best known as the favored consort of Toyotomi Hideyoshi and the mother of his heir, Toyotomi Hideyori.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yodogimi
Target entity description: Yodogimi was a prominent late-Sengoku and early Edo period noblewoman of Japan, best known as the favored consort of Toyotomi Hideyoshi and the mother of his heir, Toyotomi Hideyori.
  • A. Yachimun
    Yachimun is the traditional Okinawan pottery style known for its rustic forms, vivid glazes, and deep roots in Ryukyuan culture and craftsmanship.
  • B. Kumaiwa
    Kumaiwa is a small settlement located on Butaritari Atoll in the island nation of Kiribati in the central Pacific Ocean.
  • C. Yoboki
    Yoboki is a small town in Djibouti located within the Dikhil Region, known for its arid landscape and role as a local administrative and trading center.
  • D. Takamikura
    Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
  • E. Kamiyama
    Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
  • 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_69ca8388549c819095fd94eadefbb007 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc606adde08190825dbdabd199c025 completed April 1, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69d57d88cf8c81909fef61dd01bba5da completed April 7, 2026, 9:56 p.m.
NEDg Description generation batch_69d57e5a65848190bfc3d8c93c81bccb completed April 7, 2026, 9:59 p.m.
NED2 Entity disambiguation (via description) batch_69d57eba57d081908fbe569610c9bc16 completed April 7, 2026, 10:01 p.m.
Created at: March 30, 2026, 6:48 p.m.