Triple

T895305
Position Surface form Disambiguated ID Type / Status
Subject Kakuei Tanaka E19330 entity
Predicate familyName P18 FINISHED
Object Tanaka
Tanaka is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and other fields.
E153742 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: Tanaka | Statement: [Kakuei Tanaka, familyName, Tanaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tanaka
Context triple: [Kakuei Tanaka, familyName, Tanaka]
  • A. Satō
    Satō is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and other fields.
  • B. 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.
  • C. Takanami
    Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
  • D. Shimamoto
    Shimamoto is a town in Osaka Prefecture, Japan, located between Kyoto and Osaka along the Yodo River.
  • E. Owada
    Owada is a Japanese surname most notably borne by Empress Masako of Japan and her family.
  • 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: Tanaka
Triple: [Kakuei Tanaka, familyName, Tanaka]
Generated description
Tanaka is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and other fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tanaka
Target entity description: Tanaka is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and other fields.
  • A. Satō
    Satō is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and other fields.
  • B. 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.
  • C. Takanami
    Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
  • D. Shimamoto
    Shimamoto is a town in Osaka Prefecture, Japan, located between Kyoto and Osaka along the Yodo River.
  • E. Owada
    Owada is a Japanese surname most notably borne by Empress Masako of Japan and her family.
  • 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_69a4939d37188190848be3d426ebc9ae completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad23d6e88190a2fb5e1e168a7b44 completed March 1, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc5ff51c48190ab9b096d9d885d8f completed March 8, 2026, 12:42 a.m.
NEDg Description generation batch_69acc6ae66408190bf48fe3150a08116 completed March 8, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_69acc73b92248190b723cb64046799e3 completed March 8, 2026, 12:47 a.m.
Created at: March 1, 2026, 7:39 p.m.