Triple

T4295977
Position Surface form Disambiguated ID Type / Status
Subject Fumimaro Konoe E99713 entity
Predicate givenName P17 FINISHED
Object Fumimaro
Fumimaro was a Japanese nobleman and politician who served multiple terms as Prime Minister of Japan in the years leading up to and during the early stages of World War II.
E451429 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: Fumimaro | Statement: [Fumimaro Konoe, givenName, Fumimaro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fumimaro
Context triple: [Fumimaro Konoe, givenName, Fumimaro]
  • A. Michinaga
    Michinaga is the given name of Fujiwara no Michinaga, a powerful Heian-period Japanese court noble who dominated imperial politics at the height of the Fujiwara clan’s influence.
  • B. Shinpei
    Shinpei is a Japanese given name commonly used for males and borne by various notable figures in politics, arts, and entertainment.
  • C. Yoshitsugu
    Yoshitsugu is a Japanese given name commonly used for males.
  • D. Kenjirō
    Kenjirō is a Japanese masculine given name that can be written with various kanji combinations and is borne by multiple notable individuals in fields such as sports, arts, and entertainment.
  • E. Naoyoshi
    Naoyoshi is a Japanese given name commonly used for males.
  • 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: Fumimaro
Triple: [Fumimaro Konoe, givenName, Fumimaro]
Generated description
Fumimaro was a Japanese nobleman and politician who served multiple terms as Prime Minister of Japan in the years leading up to and during the early stages of World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fumimaro
Target entity description: Fumimaro was a Japanese nobleman and politician who served multiple terms as Prime Minister of Japan in the years leading up to and during the early stages of World War II.
  • A. Michinaga
    Michinaga is the given name of Fujiwara no Michinaga, a powerful Heian-period Japanese court noble who dominated imperial politics at the height of the Fujiwara clan’s influence.
  • B. Shinpei
    Shinpei is a Japanese given name commonly used for males and borne by various notable figures in politics, arts, and entertainment.
  • C. Yoshitsugu
    Yoshitsugu is a Japanese given name commonly used for males.
  • D. Kenjirō
    Kenjirō is a Japanese masculine given name that can be written with various kanji combinations and is borne by multiple notable individuals in fields such as sports, arts, and entertainment.
  • E. Naoyoshi
    Naoyoshi is a Japanese given name commonly used for males.
  • 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_69b3455175088190aa79c6e03b86647e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35085b864819086cf726285384566 completed March 12, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdb8f4eab88190b123aca20feb8d63 completed March 20, 2026, 9:15 p.m.
NEDg Description generation batch_69bdbe52d6448190abe2d55dd1af8939 completed March 20, 2026, 9:38 p.m.
NED2 Entity disambiguation (via description) batch_69bdbec3b3e48190921cd07602e4be8c completed March 20, 2026, 9:40 p.m.
Created at: March 12, 2026, 11:08 p.m.