Triple
T7983222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hidetoshi Nakata |
E185623
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Hidetoshi Nakata |
E185623
|
NE FINISHED |
How this triple was built (2 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: Hidetoshi Nakata | Statement: [Hidetoshi Nakata, name, Hidetoshi Nakata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hidetoshi Nakata Context triple: [Hidetoshi Nakata, name, Hidetoshi Nakata]
-
A.
Hidetoshi Nakata
chosen
Hidetoshi Nakata is a retired Japanese footballer widely regarded as one of Asia’s greatest players, known for his successful career in Serie A and his influential role in popularizing Japanese football internationally.
-
B.
Masakatsu Shibasaki
Masakatsu Shibasaki is a Japanese chemist renowned for his pioneering work in asymmetric catalysis and the development of chiral ligands used in enantioselective synthesis.
-
C.
Hideki Shimizu
Hideki Shimizu is a Japanese designer best known for creating the iconic International Fountain at Seattle Center.
-
D.
Kenji Shimizu
Kenji Shimizu was an Imperial Japanese Army officer who served as a senior commander before and during World War II.
-
E.
Kō Shibasaki
Kō Shibasaki is a Japanese actress and singer known for prominent roles in films such as "Battle Royale," "One Missed Call," and various high-profile Japanese dramas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca829a2cfc819083d591d58ec04075 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c2a1aa881909c3cea280dff38f5 |
completed | March 31, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe0e0b2748190930c22c6157d1b07 |
completed | March 31, 2026, 2:57 p.m. |
Created at: March 30, 2026, 5:15 p.m.