Triple

T21337311
Position Surface form Disambiguated ID Type / Status
Subject Komura Jutarō E526083 entity
Predicate familyName P18 FINISHED
Object Komura
Komura is a Japanese surname most notably associated with Jutarō Komura, a prominent Meiji-era diplomat and statesman.
E1478953 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: Komura | Statement: [Komura Jutarō, familyName, Komura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Komura
Context triple: [Komura Jutarō, familyName, Komura]
  • A. Komuro
    Komuro is the married surname of Japan’s former Princess Mako, adopted after her marriage to commoner Kei Komuro.
  • B. Shimabukuro
    Shimabukuro is a Japanese surname most notably associated with virtuoso ukulele player Jake Shimabukuro.
  • C. Takaro
    Takaro is a residential suburb located within the city of Palmerston North in New Zealand.
  • D. Otomari
    Otomari was a settlement in southern Sakhalin (then Karafuto) that served as a strategic Japanese military garrison area before and during World War II.
  • E. Takarabune
    Takarabune is a legendary Japanese treasure ship said to carry the Seven Lucky Gods and bring good fortune at the New Year.
  • 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: Komura
Triple: [Komura Jutarō, familyName, Komura]
Generated description
Komura is a Japanese surname most notably associated with Jutarō Komura, a prominent Meiji-era diplomat and statesman.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Komura
Target entity description: Komura is a Japanese surname most notably associated with Jutarō Komura, a prominent Meiji-era diplomat and statesman.
  • A. Komuro
    Komuro is the married surname of Japan’s former Princess Mako, adopted after her marriage to commoner Kei Komuro.
  • B. Shimabukuro
    Shimabukuro is a Japanese surname most notably associated with virtuoso ukulele player Jake Shimabukuro.
  • C. Takaro
    Takaro is a residential suburb located within the city of Palmerston North in New Zealand.
  • D. Otomari
    Otomari was a settlement in southern Sakhalin (then Karafuto) that served as a strategic Japanese military garrison area before and during World War II.
  • E. Takarabune
    Takarabune is a legendary Japanese treasure ship said to carry the Seven Lucky Gods and bring good fortune at the New Year.
  • 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_69e0b51c33048190ab27cede74ef798c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e898d9413c8190a43a6b0c67d5fc5f completed April 22, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09a5c260dc8190be7acb83b1c9c832 completed May 17, 2026, 11:25 a.m.
NEDg Description generation batch_6a09a8aef61c8190985aad0637b8fadd completed May 17, 2026, 11:38 a.m.
NED2 Entity disambiguation (via description) batch_6a09a915a57c81909b5b1bb7042957a0 completed May 17, 2026, 11:40 a.m.
Created at: April 16, 2026, 4:43 p.m.