Triple
T3865020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamakura period |
E91830
|
entity |
| Predicate | significantFigure |
P428
|
FINISHED |
| Object |
Eisai
Eisai was a Japanese Buddhist monk of the Kamakura period best known for introducing Rinzai Zen and promoting tea culture in Japan.
|
E395854
|
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: Eisai | Statement: [Kamakura period, significantFigure, Eisai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eisai Context triple: [Kamakura period, significantFigure, Eisai]
-
A.
Eisai
Eisai is a Japanese pharmaceutical company known for developing treatments in neurology and oncology, including Alzheimer’s disease therapies.
-
B.
Chugai Pharmaceutical
Chugai Pharmaceutical is a major Japanese research-based pharmaceutical company known for its innovative biopharmaceuticals and strategic alliance with Roche.
-
C.
Sankyo Company
Sankyo Company is a Japanese pharmaceutical firm known for its role in developing cholesterol-lowering statin drugs and later becoming part of Daiichi Sankyo.
-
D.
Novartis
Novartis is a global Swiss-based pharmaceutical company known for developing innovative medicines across a wide range of therapeutic areas.
-
E.
AstraZeneca
AstraZeneca is a global biopharmaceutical company known for researching, developing, and manufacturing prescription medicines across areas such as oncology, cardiovascular, respiratory, and immunology.
- 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: Eisai Triple: [Kamakura period, significantFigure, Eisai]
Generated description
Eisai was a Japanese Buddhist monk of the Kamakura period best known for introducing Rinzai Zen and promoting tea culture in Japan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eisai Target entity description: Eisai was a Japanese Buddhist monk of the Kamakura period best known for introducing Rinzai Zen and promoting tea culture in Japan.
-
A.
Eisai
Eisai is a Japanese pharmaceutical company known for developing treatments in neurology and oncology, including Alzheimer’s disease therapies.
-
B.
Chugai Pharmaceutical
Chugai Pharmaceutical is a major Japanese research-based pharmaceutical company known for its innovative biopharmaceuticals and strategic alliance with Roche.
-
C.
Sankyo Company
Sankyo Company is a Japanese pharmaceutical firm known for its role in developing cholesterol-lowering statin drugs and later becoming part of Daiichi Sankyo.
-
D.
Novartis
Novartis is a global Swiss-based pharmaceutical company known for developing innovative medicines across a wide range of therapeutic areas.
-
E.
AstraZeneca
AstraZeneca is a global biopharmaceutical company known for researching, developing, and manufacturing prescription medicines across areas such as oncology, cardiovascular, respiratory, and immunology.
- 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_69aed9645f348190a9868e7cef56ab7e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec3a253c81909df7dc0422ff7989 |
completed | March 9, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5123e5e008190a89bb226a7de55ec |
completed | March 14, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69b512f3504c8190be940148a4f726e9 |
completed | March 14, 2026, 7:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5172b369c8190956d7c54943225cd |
completed | March 14, 2026, 8:07 a.m. |
Created at: March 9, 2026, 3:19 p.m.