Triple
T16695787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sesshō |
E405711
|
entity |
| Predicate | transliteration |
P2508
|
FINISHED |
| Object |
Sessho
Sesshō is a Japanese historical title referring to a regent who governed on behalf of a child emperor.
|
E1229875
|
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: Sessho | Statement: [Sesshō, transliteration, Sessho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sessho Context triple: [Sesshō, transliteration, Sessho]
-
A.
Chūnagon
Chūnagon was a high-ranking counselor position in the Japanese imperial court, situated between the senior ministers and lower officials in the Heian-era bureaucratic hierarchy.
-
B.
Genshō
Genshō was an 8th-century Japanese empress who ruled during the Nara period and is known for continuing the centralizing reforms of her predecessors.
-
C.
Chuko Sosha
Chuko Sosha was the original company name of Nissin Foods, a Japanese food manufacturer best known for pioneering instant noodles and Cup Noodles.
-
D.
Shige
Shige is a given name, notably used by the Chinese mathematician Peng Shige, recognized for his contributions to probability theory and stochastic analysis.
-
E.
Tenchō
Tenchō was a Japanese era name (nengō) of the early Heian period, used during the reign of Emperor Junna.
- 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: Sessho Triple: [Sesshō, transliteration, Sessho]
Generated description
Sesshō is a Japanese historical title referring to a regent who governed on behalf of a child emperor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sessho Target entity description: Sesshō is a Japanese historical title referring to a regent who governed on behalf of a child emperor.
-
A.
Chūnagon
Chūnagon was a high-ranking counselor position in the Japanese imperial court, situated between the senior ministers and lower officials in the Heian-era bureaucratic hierarchy.
-
B.
Genshō
Genshō was an 8th-century Japanese empress who ruled during the Nara period and is known for continuing the centralizing reforms of her predecessors.
-
C.
Chuko Sosha
Chuko Sosha was the original company name of Nissin Foods, a Japanese food manufacturer best known for pioneering instant noodles and Cup Noodles.
-
D.
Shige
Shige is a given name, notably used by the Chinese mathematician Peng Shige, recognized for his contributions to probability theory and stochastic analysis.
-
E.
Tenchō
Tenchō was a Japanese era name (nengō) of the early Heian period, used during the reign of Emperor Junna.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37eadc35881909fb0cc405a0e2fae |
completed | April 18, 2026, 12:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00919d02088190acecb1a62a100255 |
completed | May 10, 2026, 2:09 p.m. |
| NEDg | Description generation | batch_6a009a013ccc81908becd542b2f12e8f |
completed | May 10, 2026, 2:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a009abdf55081908976fa9f9752a447 |
completed | May 10, 2026, 2:48 p.m. |
Created at: April 10, 2026, 5:19 a.m.