Triple
T15558965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hideo Nomo |
E370945
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Nomo
Nomo is a Japanese surname most famously associated with former Major League Baseball pitcher Hideo Nomo, a trailblazer for Japanese players in the United States.
|
E1163418
|
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: Nomo | Statement: [Hideo Nomo, familyName, Nomo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nomo Context triple: [Hideo Nomo, familyName, Nomo]
-
A.
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.
-
B.
Molitor
Molitor is a surname most notably associated with Paul Molitor, a Hall of Fame Major League Baseball player and manager.
-
C.
Tetsuharu
Tetsuharu is a Japanese given name most famously associated with Tetsuharu Kawakami, a legendary professional baseball player and manager in Japan.
-
D.
Boras
Borås is a city in western Sweden known for its historic textile industry, design heritage, and role as a regional commercial center.
-
E.
Mussina
Mussina is the surname of Mike Mussina, a former Major League Baseball pitcher best known for his successful career with the Baltimore Orioles and New York Yankees.
- 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: Nomo Triple: [Hideo Nomo, familyName, Nomo]
Generated description
Nomo is a Japanese surname most famously associated with former Major League Baseball pitcher Hideo Nomo, a trailblazer for Japanese players in the United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nomo Target entity description: Nomo is a Japanese surname most famously associated with former Major League Baseball pitcher Hideo Nomo, a trailblazer for Japanese players in the United States.
-
A.
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.
-
B.
Molitor
Molitor is a surname most notably associated with Paul Molitor, a Hall of Fame Major League Baseball player and manager.
-
C.
Tetsuharu
Tetsuharu is a Japanese given name most famously associated with Tetsuharu Kawakami, a legendary professional baseball player and manager in Japan.
-
D.
Boras
Borås is a city in western Sweden known for its historic textile industry, design heritage, and role as a regional commercial center.
-
E.
Mussina
Mussina is the surname of Mike Mussina, a former Major League Baseball pitcher best known for his successful career with the Baltimore Orioles and New York Yankees.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04dda3ab88190ab383333ce69fe8f |
completed | April 16, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff456635588190a2473bcff3ae4a53 |
completed | May 9, 2026, 2:32 p.m. |
| NEDg | Description generation | batch_69ff46f44b2c81909f65f0ab455c6549 |
completed | May 9, 2026, 2:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff477a63b48190a453cf669dfda228 |
completed | May 9, 2026, 2:40 p.m. |
Created at: April 10, 2026, 4:09 a.m.