Triple

T8437562
Position Surface form Disambiguated ID Type / Status
Subject Akinobu E199266 entity
Predicate nameComponent P5298 FINISHED
Object Nobu
Nobu is a common Japanese given name and name element that can appear in various masculine and unisex names.
E733377 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: Nobu | Statement: [Akinobu, nameComponent, Nobu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nobu
Context triple: [Akinobu, nameComponent, Nobu]
  • A. Kenji
    Kenji is a common Japanese masculine given name used by various notable individuals across fields such as music, literature, and sports.
  • B. Nobu restaurants
    Nobu restaurants are a globally renowned luxury dining chain known for their innovative Japanese-Peruvian cuisine and stylish, high-end ambiance.
  • C. Masataka
    Masataka is a Japanese given name commonly used for males.
  • D. Jiro
    Jiro is a masculine Japanese given name commonly associated with notable figures in Japanese culture, including engineers, artists, and fictional characters.
  • E. Hibachi
    Hibachi is the nickname of former NBA All-Star guard Gilbert Arenas, known for his explosive scoring and long-range shooting.
  • 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: Nobu
Triple: [Akinobu, nameComponent, Nobu]
Generated description
Nobu is a common Japanese given name and name element that can appear in various masculine and unisex names.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nobu
Target entity description: Nobu is a common Japanese given name and name element that can appear in various masculine and unisex names.
  • A. Kenji
    Kenji is a common Japanese masculine given name used by various notable individuals across fields such as music, literature, and sports.
  • B. Nobu restaurants
    Nobu restaurants are a globally renowned luxury dining chain known for their innovative Japanese-Peruvian cuisine and stylish, high-end ambiance.
  • C. Masataka
    Masataka is a Japanese given name commonly used for males.
  • D. Jiro
    Jiro is a masculine Japanese given name commonly associated with notable figures in Japanese culture, including engineers, artists, and fictional characters.
  • E. Hibachi
    Hibachi is the nickname of former NBA All-Star guard Gilbert Arenas, known for his explosive scoring and long-range shooting.
  • 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_69ca8314cd6c8190a6b8c2a1096e18f3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe13446788190ad52a4fd6e8b498a completed March 31, 2026, 2:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1d87403c8190b979af4979e43517 completed April 2, 2026, 7:40 a.m.
NEDg Description generation batch_69ce1f12e1a081909d28b06c520353ef completed April 2, 2026, 7:47 a.m.
NED2 Entity disambiguation (via description) batch_69ce1fb498448190a2737b8895f6bb48 completed April 2, 2026, 7:50 a.m.
Created at: March 30, 2026, 6:08 p.m.