Triple
T20412716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tetsuya Iida |
E500628
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Iida
Iida is a Japanese surname borne by various notable individuals across fields such as sports, entertainment, and academia.
|
E1430151
|
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: Iida | Statement: [Tetsuya Iida, familyName, Iida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iida Context triple: [Tetsuya Iida, familyName, Iida]
-
A.
Iriya
Iriya is a neighborhood in Taitō ward, Tokyo, known as a traditional shitamachi area with local temples, festivals, and historic shopping streets.
-
B.
Iwaya
Iwaya is a densely populated residential neighborhood located on the Lagos Mainland in Lagos, Nigeria.
-
C.
Izu
Izu is a coastal hot spring resort town on Japan’s Izu Peninsula, known for its scenic beaches, onsen, and natural beauty.
-
D.
Yamakawa
Yamakawa is a Japanese surname historically associated with notable Meiji-era figures, including the influential educator and social reformer Ōyama Sutematsu.
-
E.
Ogawa
Ogawa is a town in Saitama Prefecture, Japan, known for its traditional Japanese paper (washi) production and its role as a local transport hub.
- 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: Iida Triple: [Tetsuya Iida, familyName, Iida]
Generated description
Iida is a Japanese surname borne by various notable individuals across fields such as sports, entertainment, and academia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Iida Target entity description: Iida is a Japanese surname borne by various notable individuals across fields such as sports, entertainment, and academia.
-
A.
Iriya
Iriya is a neighborhood in Taitō ward, Tokyo, known as a traditional shitamachi area with local temples, festivals, and historic shopping streets.
-
B.
Iwaya
Iwaya is a densely populated residential neighborhood located on the Lagos Mainland in Lagos, Nigeria.
-
C.
Izu
Izu is a coastal hot spring resort town on Japan’s Izu Peninsula, known for its scenic beaches, onsen, and natural beauty.
-
D.
Yamakawa
Yamakawa is a Japanese surname historically associated with notable Meiji-era figures, including the influential educator and social reformer Ōyama Sutematsu.
-
E.
Ogawa
Ogawa is a serotype of the bacterium Vibrio cholerae O1, commonly associated with cholera outbreaks worldwide.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a417f208190be9bc11650ee0a87 |
completed | April 20, 2026, 7:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a087b23f8448190ab79b3a6ac3e23c1 |
completed | May 16, 2026, 2:11 p.m. |
| NEDg | Description generation | batch_6a08801702488190ba3122edb09cdaab |
completed | May 16, 2026, 2:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08811c9af081908d898134bf80452e |
completed | May 16, 2026, 2:37 p.m. |
Created at: April 16, 2026, 11:30 a.m.