Triple
T17128290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emperor Go-Ichijō |
E415654
|
entity |
| Predicate | regnalEraName |
P55549
|
FINISHED |
| Object |
Chōgen
Chōgen was a Japanese era name (nengō) used during the reign of Emperor Go-Ichijō in the early 11th century.
|
E1253057
|
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: Chōgen | Statement: [Emperor Go-Ichijō, regnalEraName, Chōgen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chōgen Context triple: [Emperor Go-Ichijō, regnalEraName, Chōgen]
-
A.
Chōkai
Chōkai was a Takao-class heavy cruiser of the Imperial Japanese Navy that served prominently in World War II, including major Pacific naval battles.
-
B.
Gosei
Gosei is a Japanese term referring to the fifth-generation descendants of Japanese emigrants living abroad.
-
C.
Seishirō
Seishirō is a Japanese given name commonly used for male individuals.
-
D.
Arinori
Arinori was a given name of Mori Arinori, a prominent Meiji-era Japanese statesman and reformer known for modernizing Japan’s education system.
-
E.
Eiheiji
Eiheiji is a major Zen Buddhist temple in Fukui Prefecture, Japan, serving as one of the two principal training monasteries of the Sōtō school founded by the monk Dōgen.
- 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: Chōgen Triple: [Emperor Go-Ichijō, regnalEraName, Chōgen]
Generated description
Chōgen was a Japanese era name (nengō) used during the reign of Emperor Go-Ichijō in the early 11th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chōgen Target entity description: Chōgen was a Japanese era name (nengō) used during the reign of Emperor Go-Ichijō in the early 11th century.
-
A.
Chōkai
Chōkai was a Takao-class heavy cruiser of the Imperial Japanese Navy that served prominently in World War II, including major Pacific naval battles.
-
B.
Gosei
Gosei is a Japanese term referring to the fifth-generation descendants of Japanese emigrants living abroad.
-
C.
Seishirō
Seishirō is a Japanese given name commonly used for male individuals.
-
D.
Arinori
Arinori was a given name of Mori Arinori, a prominent Meiji-era Japanese statesman and reformer known for modernizing Japan’s education system.
-
E.
Eiheiji
Eiheiji is a major Zen Buddhist temple in Fukui Prefecture, Japan, serving as one of the two principal training monasteries of the Sōtō school founded by the monk Dōgen.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f0285a408190ae5e4c4679c07fbf |
completed | April 18, 2026, 8:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01414a51d4819086c2346fe2d4fce4 |
completed | May 11, 2026, 2:39 a.m. |
| NEDg | Description generation | batch_6a0142888ab0819090441d4912ca84d2 |
completed | May 11, 2026, 2:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01435a397c8190b5dc8af971383acb |
completed | May 11, 2026, 2:47 a.m. |
Created at: April 10, 2026, 5:36 a.m.