Triple
T11165315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yoshinori Ohsumi |
E264145
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Ohsumi
Ohsumi is the surname of Yoshinori Ohsumi, a Japanese cell biologist and Nobel laureate renowned for his pioneering research on autophagy.
|
E939787
|
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: Ohsumi | Statement: [Yoshinori Ohsumi, familyName, Ohsumi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ohsumi Context triple: [Yoshinori Ohsumi, familyName, Ohsumi]
-
A.
Ōnamuchi
Ōnamuchi is another name for Ōkuninushi, a major Shinto deity associated with nation-building, medicine, and good fortune in Japanese mythology.
-
B.
Tsutsumi
Tsutsumi is a Japanese surname associated with several notable figures in business, politics, and the arts in Japan.
-
C.
Otomari
Otomari was a settlement in southern Sakhalin (then Karafuto) that served as a strategic Japanese military garrison area before and during World War II.
-
D.
Otsuka
Otsuka is a neighborhood in Tokyo known for its mix of traditional shopping streets, residential areas, and convenient rail connections, including the JR Yamanote Line.
-
E.
Shimamoto
Shimamoto is a town in Osaka Prefecture, Japan, located between Kyoto and Osaka along the Yodo River.
- 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: Ohsumi Triple: [Yoshinori Ohsumi, familyName, Ohsumi]
Generated description
Ohsumi is the surname of Yoshinori Ohsumi, a Japanese cell biologist and Nobel laureate renowned for his pioneering research on autophagy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ohsumi Target entity description: Ohsumi is the surname of Yoshinori Ohsumi, a Japanese cell biologist and Nobel laureate renowned for his pioneering research on autophagy.
-
A.
Ōnamuchi
Ōnamuchi is another name for Ōkuninushi, a major Shinto deity associated with nation-building, medicine, and good fortune in Japanese mythology.
-
B.
Tsutsumi
Tsutsumi is a Japanese surname associated with several notable figures in business, politics, and the arts in Japan.
-
C.
Otomari
Otomari was a settlement in southern Sakhalin (then Karafuto) that served as a strategic Japanese military garrison area before and during World War II.
-
D.
Otsuka
Otsuka is a neighborhood in Tokyo known for its mix of traditional shopping streets, residential areas, and convenient rail connections, including the JR Yamanote Line.
-
E.
Shimamoto
Shimamoto is a town in Osaka Prefecture, Japan, located between Kyoto and Osaka along the Yodo River.
- 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e887293081909830852000d533fa |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef127eaf588190aaca151ee4022f3c |
completed | April 27, 2026, 7:38 a.m. |
| NEDg | Description generation | batch_69ef354b3b3c8190b1c91dbf9c705a7d |
completed | April 27, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ef5170ce9881908f2ecf3d5ada809a |
completed | April 27, 2026, 12:07 p.m. |
Created at: April 8, 2026, 9:29 p.m.