Triple
T4195342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa J. Ono |
E89137
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object |
Takashi Ono
Takashi Ono is the son of Canadian-American university president and biomedical researcher Santa J. Ono.
|
E691258
|
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: Takashi Ono | Statement: [Santa J. Ono, parent, Takashi Ono]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Takashi Ono Context triple: [Santa J. Ono, parent, Takashi Ono]
-
A.
Takashi Ozaki
Takashi Ozaki was a Japanese mountaineer known for pioneering ascents in remote Asian ranges, including leading the first successful climb of Myanmar’s Hkakabo Razi.
-
B.
Motohiro Ōno
Motohiro Ōno is a Japanese politician who serves as the governor of Saitama Prefecture.
-
C.
Toshio Imanishi
Toshio Imanishi was a Japanese mountaineer renowned for being part of the pioneering team that first climbed Manaslu, one of the world’s highest peaks.
-
D.
Hirokazu Matsuno
Hirokazu Matsuno is a Japanese politician of the Liberal Democratic Party who has served in senior government roles, including as a key spokesperson and coordinator for the national cabinet.
-
E.
Koichi Tanaka
Koichi Tanaka is a Japanese engineer and Nobel Prize–winning chemist renowned for his pioneering work in mass spectrometry, particularly soft laser desorption ionization.
- 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: Takashi Ono Triple: [Santa J. Ono, parent, Takashi Ono]
Generated description
Takashi Ono is the son of Canadian-American university president and biomedical researcher Santa J. Ono.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Takashi Ono Target entity description: Takashi Ono is the son of Canadian-American university president and biomedical researcher Santa J. Ono.
-
A.
Takashi Ozaki
Takashi Ozaki was a Japanese mountaineer known for pioneering ascents in remote Asian ranges, including leading the first successful climb of Myanmar’s Hkakabo Razi.
-
B.
Motohiro Ōno
Motohiro Ōno is a Japanese politician who serves as the governor of Saitama Prefecture.
-
C.
Toshio Imanishi
Toshio Imanishi was a Japanese mountaineer renowned for being part of the pioneering team that first climbed Manaslu, one of the world’s highest peaks.
-
D.
Hirokazu Matsuno
Hirokazu Matsuno is a Japanese politician of the Liberal Democratic Party who has served in senior government roles, including as a key spokesperson and coordinator for the national cabinet.
-
E.
Koichi Tanaka
Koichi Tanaka is a Japanese engineer and Nobel Prize–winning chemist renowned for his pioneering work in mass spectrometry, particularly soft laser desorption ionization.
- 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_69aed9569a4481908b6c1fcec2a11e21 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af035e87148190a0f0bf48b813ffaa |
completed | March 9, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9742fd0dc8190a154cf83c87eb508 |
completed | March 29, 2026, 6:49 p.m. |
| NEDg | Description generation | batch_69c9751e5e148190bf238d825501eccb |
completed | March 29, 2026, 6:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c9756a07088190a3bda04eb31016ea |
completed | March 29, 2026, 6:54 p.m. |
Created at: March 9, 2026, 3:46 p.m.