Triple
T4216277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emperor Daigo |
E94223
|
entity |
| Predicate | eraNameUsed |
P2938
|
FINISHED |
| Object |
Engi
Engi was a Japanese era name (nengō) of the early 10th century, notable for its association with Emperor Daigo’s reign and significant political and cultural developments in the Heian period.
|
E422106
|
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: Engi | Statement: [Emperor Daigo, eraNameUsed, Engi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Engi Context triple: [Emperor Daigo, eraNameUsed, Engi]
-
A.
Eichig
Eichig is a small locality that forms part of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
-
B.
Takaichi
Takaichi is a Japanese surname most prominently associated with conservative politician Sanae Takaichi.
-
C.
Shuji
Shuji is a Japanese given name most notably borne by Nobel Prize–winning physicist Shuji Nakamura.
-
D.
Enbo
Enbo is a given name most notably associated with Tang Enbo, a prominent Chinese Nationalist general during the Second Sino-Japanese War and Chinese Civil War.
-
E.
Shinmei
Shinmei is a divine title associated with Emperor Jimmu, the legendary first emperor of Japan revered as a descendant of the sun goddess Amaterasu.
- 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: Engi Triple: [Emperor Daigo, eraNameUsed, Engi]
Generated description
Engi was a Japanese era name (nengō) of the early 10th century, notable for its association with Emperor Daigo’s reign and significant political and cultural developments in the Heian period.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Engi Target entity description: Engi was a Japanese era name (nengō) of the early 10th century, notable for its association with Emperor Daigo’s reign and significant political and cultural developments in the Heian period.
-
A.
Eichig
Eichig is a small locality that forms part of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
-
B.
Takaichi
Takaichi is a Japanese surname most prominently associated with conservative politician Sanae Takaichi.
-
C.
Shuji
Shuji is a Japanese given name most notably borne by Nobel Prize–winning physicist Shuji Nakamura.
-
D.
Enbo
Enbo is a given name most notably associated with Tang Enbo, a prominent Chinese Nationalist general during the Second Sino-Japanese War and Chinese Civil War.
-
E.
Shinmei
Shinmei is a divine title associated with Emperor Jimmu, the legendary first emperor of Japan revered as a descendant of the sun goddess Amaterasu.
- 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_69b3451997e08190851db4a9a588837d |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b34bea284081909beaded9873f0852 |
completed | March 12, 2026, 11:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5963779d08190a95eb110361bf1f1 |
completed | March 14, 2026, 5:09 p.m. |
| NEDg | Description generation | batch_69b597f5ec8481909408b6b49994bbe8 |
completed | March 14, 2026, 5:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5985c8f6081909c479e89bc1ca449 |
completed | March 14, 2026, 5:18 p.m. |
Created at: March 12, 2026, 11:04 p.m.