Triple

T10187055
Position Surface form Disambiguated ID Type / Status
Subject Nakamura E236938 entity
Predicate romanizationOf P2508 FINISHED
Object 中村
中村 is a common Japanese surname and place name, typically written with characters meaning "middle" and "village."
E847167 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: 中村 | Statement: [Nakamura, romanizationOf, 中村]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 中村
Context triple: [Nakamura, romanizationOf, 中村]
  • A. 田口
    田口 is a common Japanese surname and given name used by various individuals across fields such as sports, entertainment, and academia.
  • B. 加東
    加東 is a Japanese place or family name commonly romanized as "Kato" or "Katō."
  • C. Wenzhong
    Wenzhong is the posthumous honorific title granted to the eminent Song dynasty scholar-official, historian, and poet Ouyang Xiu.
  • D. Yoshida
    Yoshida is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and entertainment.
  • E. Yamada
    Yamada is a common Japanese surname borne by many notable figures across fields such as politics, arts, sports, and academia.
  • 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: 中村
Triple: [Nakamura, romanizationOf, 中村]
Generated description
中村 is a common Japanese surname and place name, typically written with characters meaning "middle" and "village."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 中村
Target entity description: 中村 is a common Japanese surname and place name, typically written with characters meaning "middle" and "village."
  • A. 田口
    田口 is a common Japanese surname and given name used by various individuals across fields such as sports, entertainment, and academia.
  • B. 加東
    加東 is a Japanese place or family name commonly romanized as "Kato" or "Katō."
  • C. Wenzhong
    Wenzhong is the posthumous honorific title granted to the eminent Song dynasty scholar-official, historian, and poet Ouyang Xiu.
  • D. Yoshida
    Yoshida is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and entertainment.
  • E. Yamada
    Yamada is a common Japanese surname borne by many notable figures across fields such as politics, arts, sports, and academia.
  • 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_69ca84d7260c8190bfbec36762943f37 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cded790b488190b1ed4645554873cd completed April 2, 2026, 4:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317adddc88190a41d0eabe64f952b completed April 6, 2026, 2:17 a.m.
NEDg Description generation batch_69d31b9f32c08190af2e71641e9542b0 completed April 6, 2026, 2:34 a.m.
NED2 Entity disambiguation (via description) batch_69d31c421e1081908763cc97e0b1317c completed April 6, 2026, 2:36 a.m.
Created at: March 30, 2026, 9:12 p.m.