Triple
T22926548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esen Taishi |
E569323
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object |
Taishi
Taishi is a high-ranking title in East Asian historical contexts, often denoting a grand preceptor or supreme commander in imperial or nomadic political hierarchies.
|
E829493
|
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: Taishi | Statement: [Esen Taishi, title, Taishi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taishi Context triple: [Esen Taishi, title, Taishi]
-
A.
Taishi
Taishi is a town in Osaka Prefecture, Japan, known for its historical sites and traditional rural character.
-
B.
Taishi
Taishi was the first era name used by Emperor Wu of the Western Han dynasty, marking an important early phase of his long and influential reign in ancient China.
-
C.
Huangtai
Huangtai was the brief reign era name used by Emperor Gong, the last ruler of China’s Sui dynasty.
-
D.
Taihoku
Taihoku was the Japanese colonial-era name for Taipei, which served as the administrative and political center of Taiwan under Japanese rule.
-
E.
Weishi
Weishi is a Chinese Buddhist school that represents the East Asian transmission of Yogācāra (Consciousness-Only) philosophy, closely associated with the Hossō tradition in Japan.
- 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: Taishi Triple: [Esen Taishi, title, Taishi]
Generated description
Taishi is a high-ranking title in East Asian historical contexts, often denoting a grand preceptor or supreme commander in imperial or nomadic political hierarchies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Taishi Target entity description: Taishi is a high-ranking title in East Asian historical contexts, often denoting a grand preceptor or supreme commander in imperial or nomadic political hierarchies.
-
A.
Taishi
Taishi is a town in Osaka Prefecture, Japan, known for its historical sites and traditional rural character.
-
B.
Taishi
chosen
Taishi was the first era name used by Emperor Wu of the Western Han dynasty, marking an important early phase of his long and influential reign in ancient China.
-
C.
Huangtai
Huangtai was the brief reign era name used by Emperor Gong, the last ruler of China’s Sui dynasty.
-
D.
Taihoku
Taihoku was the Japanese colonial-era name for Taipei, which served as the administrative and political center of Taiwan under Japanese rule.
-
E.
Weishi
Weishi is a Chinese Buddhist school that represents the East Asian transmission of Yogācāra (Consciousness-Only) philosophy, closely associated with the Hossō tradition in Japan.
- F. None of above.
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_69e2458f7d008190901dccbaebeaba24 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180d90a9481908ea10019980b3951 |
completed | April 29, 2026, 3:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bc2496f50819098e4bd9a3fa3f6e4 |
completed | May 19, 2026, 1:52 a.m. |
| NEDg | Description generation | batch_6a0bc35c3ea08190a3b9111297774e6c |
completed | May 19, 2026, 1:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bc43eafe081909dfff8b40d624635 |
completed | May 19, 2026, 2 a.m. |
Created at: April 17, 2026, 3:43 p.m.