Triple

T2799985
Position Surface form Disambiguated ID Type / Status
Subject Shinya Yamanaka E53130 entity
Predicate familyName P18 FINISHED
Object Yamanaka
Yamanaka is a Japanese surname most prominently associated with Nobel Prize–winning stem cell researcher Shinya Yamanaka.
 E325480 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: Yamanaka | Statement: [Shinya Yamanaka, familyName, Yamanaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yamanaka
Context triple: [Shinya Yamanaka, familyName, Yamanaka]
  • A. Kashiba
    Kashiba is a city in Japan known for its residential communities and location in the northwestern part of Nara Prefecture, near the Osaka metropolitan area.
  • B. 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.
  • C. 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.
  • D. Yoshida
    Yoshida is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and entertainment.
  • E. Kentarō
    Kentarō is a Japanese given name commonly used for males, often associated with traditional or strong-sounding name combinations.
  • 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: Yamanaka
Triple: [Shinya Yamanaka, familyName, Yamanaka]
Generated description
Yamanaka is a Japanese surname most prominently associated with Nobel Prize–winning stem cell researcher Shinya Yamanaka.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yamanaka
Target entity description: Yamanaka is a Japanese surname most prominently associated with Nobel Prize–winning stem cell researcher Shinya Yamanaka.
  • A. Kashiba
    Kashiba is a city in Japan known for its residential communities and location in the northwestern part of Nara Prefecture, near the Osaka metropolitan area.
  • B. 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.
  • C. 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.
  • D. Yoshida
    Yoshida is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and entertainment.
  • E. Kentarō
    Kentarō is a Japanese given name commonly used for males, often associated with traditional or strong-sounding name combinations.
  • 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_69ab495a90788190941b6917e1eca3a6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abddf4ca9c8190a4adfd1c1373af41 completed March 7, 2026, 8:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69b1f852ebbc8190885b819a79719c6d completed March 11, 2026, 11:18 p.m.
NEDg Description generation batch_69b1fc5de17881908a512cd34ffa046f completed March 11, 2026, 11:35 p.m.
NED2 Entity disambiguation (via description) batch_69b1fcbf176c8190a061cc437db9690a completed March 11, 2026, 11:37 p.m.
Created at: March 6, 2026, 9:58 p.m.