Triple
T11749653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sesshū Tōyō |
E279372
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Tōyō
Tōyō is the given name of Sesshū Tōyō, a renowned Japanese Zen Buddhist monk and master of ink painting during the Muromachi period.
|
E944846
|
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: Tōyō | Statement: [Sesshū Tōyō, givenName, Tōyō]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tōyō Context triple: [Sesshū Tōyō, givenName, Tōyō]
-
A.
Takara
Takara is a Japanese toy company best known for creating and producing Transformers and other popular action figures.
-
B.
Mibuchi
Mibuchi is a Japanese surname borne by individuals such as Tadahiko Mibuchi.
-
C.
Nisshin
Nisshin is a suburban city in central Japan known for its residential communities and proximity to Nagoya in Aichi Prefecture.
-
D.
Meitetsu
Meitetsu is a major private railway company in Japan’s Chubu region, best known for operating extensive rail and transport services centered around Nagoya.
-
E.
Nihondaira
Nihondaira is a scenic plateau in Shizuoka Prefecture, Japan, famed for its panoramic views of Mount Fuji, Suruga Bay, and the surrounding tea fields.
- 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: Tōyō Triple: [Sesshū Tōyō, givenName, Tōyō]
Generated description
Tōyō is the given name of Sesshū Tōyō, a renowned Japanese Zen Buddhist monk and master of ink painting during the Muromachi period.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tōyō Target entity description: Tōyō is the given name of Sesshū Tōyō, a renowned Japanese Zen Buddhist monk and master of ink painting during the Muromachi period.
-
A.
Takara
Takara is a Japanese toy company best known for creating and producing Transformers and other popular action figures.
-
B.
Mibuchi
Mibuchi is a Japanese surname borne by individuals such as Tadahiko Mibuchi.
-
C.
Nisshin
Nisshin is a suburban city in central Japan known for its residential communities and proximity to Nagoya in Aichi Prefecture.
-
D.
Meitetsu
Meitetsu is a major private railway company in Japan’s Chubu region, best known for operating extensive rail and transport services centered around Nagoya.
-
E.
Nihondaira
Nihondaira is a scenic plateau in Shizuoka Prefecture, Japan, famed for its panoramic views of Mount Fuji, Suruga Bay, and the surrounding tea fields.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a508b0c4819082fbcc27d559ea2f |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f01a0492b48190b6f2e3cf36b4f537 |
completed | April 28, 2026, 2:23 a.m. |
| NEDg | Description generation | batch_69f0319520dc8190817c5e75ddb7d40b |
completed | April 28, 2026, 4:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f05ad36e4c8190b7239e5b33713369 |
completed | April 28, 2026, 6:59 a.m. |
Created at: April 8, 2026, 9:41 p.m.