Triple
T16111850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doi |
E390896
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Rieko Doi
Rieko Doi is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Doi.
|
E1194408
|
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: Rieko Doi | Statement: [Doi, hasNotableBearer, Rieko Doi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rieko Doi Context triple: [Doi, hasNotableBearer, Rieko Doi]
-
A.
Ko Miang
Ko Miang is one of Thailand’s Similan Islands, known for its clear waters, rich marine life, and popular snorkeling and diving sites.
-
B.
Khui
Khui was an ancient Egyptian nobleman, likely a provincial governor or local ruler, known primarily as the father of Queen Ankhesenpepi II of the Sixth Dynasty.
-
C.
Sasima
Sasima was an obscure town in ancient Cappadocia, best known as the short-lived and reluctant episcopal see of Gregory of Nazianzus in the 4th century.
-
D.
Sonamura
Sonamura is a town in the Indian state of Tripura, known as an administrative and commercial center near the India–Bangladesh border.
-
E.
Teià
Teià is a small coastal municipality in Catalonia, Spain, situated in the Maresme comarca near Barcelona.
- 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: Rieko Doi Triple: [Doi, hasNotableBearer, Rieko Doi]
Generated description
Rieko Doi is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Doi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rieko Doi Target entity description: Rieko Doi is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Doi.
-
A.
Ko Miang
Ko Miang is one of Thailand’s Similan Islands, known for its clear waters, rich marine life, and popular snorkeling and diving sites.
-
B.
Khui
Khui was an ancient Egyptian nobleman, likely a provincial governor or local ruler, known primarily as the father of Queen Ankhesenpepi II of the Sixth Dynasty.
-
C.
Sasima
Sasima was an obscure town in ancient Cappadocia, best known as the short-lived and reluctant episcopal see of Gregory of Nazianzus in the 4th century.
-
D.
Sonamura
Sonamura is a town in the Indian state of Tripura, known as an administrative and commercial center near the India–Bangladesh border.
-
E.
Teià
Teià is a small coastal municipality in Catalonia, Spain, situated in the Maresme comarca near Barcelona.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e20167ee1481909e56dc632bfc0fc5 |
completed | April 17, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeba90ffc81909d5eb8f0cfa9f147 |
completed | May 10, 2026, 2:21 a.m. |
| NEDg | Description generation | batch_69ffec6ce4e881908b530a981375cc55 |
completed | May 10, 2026, 2:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffed469a5c8190932fa4ebc44358c4 |
completed | May 10, 2026, 2:28 a.m. |
Created at: April 10, 2026, 5 a.m.