Triple

T7325134
Position Surface form Disambiguated ID Type / Status
Subject Katsuya Nomura E168851 entity
Predicate hasNickname P39 FINISHED
Object Nomu-san
Nomu-san is the affectionate nickname of Katsuya Nomura, the legendary Japanese baseball catcher and manager renowned for his strategic acumen and prolific home run record.
E168851 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: Nomu-san | Statement: [Katsuya Nomura, hasNickname, Nomu-san]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nomu-san
Context triple: [Katsuya Nomura, hasNickname, Nomu-san]
  • A. Munefusa
    Munefusa is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and travel writer.
  • B. Nomo-san
    Nomo-san is the affectionate nickname of Katsuya Nomura, a legendary Japanese baseball catcher and manager renowned for his prolific hitting and strategic acumen.
  • C. Tsubami
    Tsubami is one of the official bird mascots of the Tokyo Yakult Swallows baseball team, known for her cute design and energetic support of the club.
  • D. Nōmi
    Nōmi was a former town in Hiroshima Prefecture, Japan, that later became part of the city of Etajima through a municipal merger.
  • E. Tsutako
    Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
  • 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: Nomu-san
Triple: [Katsuya Nomura, hasNickname, Nomu-san]
Generated description
Nomu-san is the affectionate nickname of Katsuya Nomura, the legendary Japanese baseball catcher and manager renowned for his strategic acumen and prolific home run record.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nomu-san
Target entity description: Nomu-san is the affectionate nickname of Katsuya Nomura, the legendary Japanese baseball catcher and manager renowned for his strategic acumen and prolific home run record.
  • A. Munefusa
    Munefusa is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and travel writer.
  • B. Nomo-san chosen
    Nomo-san is the affectionate nickname of Katsuya Nomura, a legendary Japanese baseball catcher and manager renowned for his prolific hitting and strategic acumen.
  • C. Tsubami
    Tsubami is one of the official bird mascots of the Tokyo Yakult Swallows baseball team, known for her cute design and energetic support of the club.
  • D. Nōmi
    Nōmi was a former town in Hiroshima Prefecture, Japan, that later became part of the city of Etajima through a municipal merger.
  • E. Tsutako
    Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
  • F. None of above.

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_69c68a54cacc81908e3b773441f19566 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f04993408190b73fb46d83a632d5 completed March 27, 2026, 9:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c810c6617c8190b4b37466e32c71c0 completed March 28, 2026, 5:32 p.m.
NEDg Description generation batch_69c814ff89708190a6a626ac204f8c6b completed March 28, 2026, 5:50 p.m.
NED2 Entity disambiguation (via description) batch_69c819174bc48190b5575818ccc2f144 completed March 28, 2026, 6:08 p.m.
Created at: March 27, 2026, 3:03 p.m.