Triple
T5855489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sumio Iijima |
E130141
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Iijima
Iijima is a Japanese surname most notably associated with physicist Sumio Iijima, a pioneer in the discovery and characterization of carbon nanotubes.
|
E569311
|
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: Iijima | Statement: [Sumio Iijima, familyName, Iijima]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iijima Context triple: [Sumio Iijima, familyName, Iijima]
-
A.
Takaishi
Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
-
B.
Nishiwaki
Nishiwaki is a city in central Hyōgo Prefecture, Japan, known for its location near the geographic center of the country and its mix of industrial and rural landscapes.
-
C.
Akizuki
Akizuki was a Japanese Akizuki-class destroyer of the Imperial Japanese Navy that served in World War II before being sunk in the Battle off Cape Engaño in 1944.
-
D.
Gotō
Gotō is a Japanese surname borne by various notable figures in politics, business, and the arts.
-
E.
Fujinami
Fujinami is a Japanese surname borne by various notable individuals, including professional athletes and entertainers.
- 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: Iijima Triple: [Sumio Iijima, familyName, Iijima]
Generated description
Iijima is a Japanese surname most notably associated with physicist Sumio Iijima, a pioneer in the discovery and characterization of carbon nanotubes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Iijima Target entity description: Iijima is a Japanese surname most notably associated with physicist Sumio Iijima, a pioneer in the discovery and characterization of carbon nanotubes.
-
A.
Takaishi
Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
-
B.
Nishiwaki
Nishiwaki is a city in central Hyōgo Prefecture, Japan, known for its location near the geographic center of the country and its mix of industrial and rural landscapes.
-
C.
Akizuki
Akizuki was a Japanese Akizuki-class destroyer of the Imperial Japanese Navy that served in World War II before being sunk in the Battle off Cape Engaño in 1944.
-
D.
Gotō
Gotō is a Japanese surname borne by various notable figures in politics, business, and the arts.
-
E.
Fujinami
Fujinami is a Japanese surname borne by various notable individuals, including professional athletes and entertainers.
- 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_69c0084de39081909eb34e6bed74215a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03555cd6081908b0307decd60d2bc |
completed | March 22, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c124f45d8c8190a757c82abd85c514 |
completed | March 23, 2026, 11:33 a.m. |
| NEDg | Description generation | batch_69c1268cbac48190aae1682b1620ea41 |
completed | March 23, 2026, 11:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1274251c4819090de776c702e4ac8 |
completed | March 23, 2026, 11:42 a.m. |
Created at: March 22, 2026, 3:55 p.m.