Triple
T1485919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyuji Fujikawa |
E29462
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Fujikawa
Fujikawa is a Japanese surname borne by various notable individuals, including professional baseball pitcher Kyuji Fujikawa.
|
E304191
|
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: Fujikawa | Statement: [Kyuji Fujikawa, familyName, Fujikawa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fujikawa Context triple: [Kyuji Fujikawa, familyName, Fujikawa]
-
A.
Kamiyama
Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
-
B.
Fujiidera
Fujiidera is a city in Osaka Prefecture, Japan, known for its historical temples and role as a residential and commercial suburb in the Kansai region.
-
C.
Marunouchi
Marunouchi is a central Tokyo business district known for its concentration of corporate headquarters, upscale offices, and proximity to Tokyo Station and the Imperial Palace.
-
D.
Arima
Arima is a borough and one of the major urban centers in eastern Trinidad, known for its cultural heritage and role as a commercial hub in Trinidad and Tobago.
-
E.
Shōnan
Shōnan is a coastal region in Kanagawa Prefecture, Japan, known for its beaches, surf culture, and views of Enoshima and Mount Fuji.
- 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: Fujikawa Triple: [Kyuji Fujikawa, familyName, Fujikawa]
Generated description
Fujikawa is a Japanese surname borne by various notable individuals, including professional baseball pitcher Kyuji Fujikawa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fujikawa Target entity description: Fujikawa is a Japanese surname borne by various notable individuals, including professional baseball pitcher Kyuji Fujikawa.
-
A.
Kamiyama
Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
-
B.
Fujiidera
Fujiidera is a city in Osaka Prefecture, Japan, known for its historical temples and role as a residential and commercial suburb in the Kansai region.
-
C.
Marunouchi
Marunouchi is a central Tokyo business district known for its concentration of corporate headquarters, upscale offices, and proximity to Tokyo Station and the Imperial Palace.
-
D.
Arima
Arima is a borough and one of the major urban centers in eastern Trinidad, known for its cultural heritage and role as a commercial hub in Trinidad and Tobago.
-
E.
Shōnan
Shōnan is a coastal region in Kanagawa Prefecture, Japan, known for its beaches, surf culture, and views of Enoshima and Mount Fuji.
- 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_69a498da82e08190ba833330d05f380f |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6a1d8448190b3c90bb82fd806fe |
completed | March 1, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe85a92fc8190b9218c499fb08bfe |
completed | March 10, 2026, 9:46 a.m. |
| NEDg | Description generation | batch_69afe9679c8c8190bde4584320918f0e |
completed | March 10, 2026, 9:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b00ed5eaf88190826c45cc1d7d0ed6 |
completed | March 10, 2026, 12:30 p.m. |
Created at: March 1, 2026, 8:12 p.m.