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.