Triple
T23413184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sumio Iijima |
E560134
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Iijima |
—
|
NE NERFINISHED |
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: 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.
Iijima
chosen
Iijima is a Japanese surname most notably associated with physicist Sumio Iijima, a pioneer in the discovery and characterization of carbon nanotubes.
-
B.
Takaishi
Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
-
C.
Ishibashi
Ishibashi is a Japanese surname associated with various notable families and individuals in Japan.
-
D.
Matsuzaki
Matsuzaki is a coastal town on Japan’s Izu Peninsula known for its scenic seaside views, traditional architecture, and hot spring resorts.
-
E.
Tatsumi
Tatsumi is a masculine Japanese given name commonly used for boys and borne by various notable figures in Japan.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2454b3a5881909c64773dc8a5d289 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a5124a54819087a7ae2f8a5b3dc0 |
completed | April 29, 2026, 6:28 a.m. |
Created at: April 17, 2026, 5:39 p.m.