Triple
T9223181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georg Wilhelm de Gennin |
E221612
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object |
de Gennin
de Gennin is the family name of Georg Wilhelm de Gennin, a notable military engineer and statesman in Russian history.
|
E784959
|
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: de Gennin | Statement: [Georg Wilhelm de Gennin, hasFamilyName, de Gennin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: de Gennin Context triple: [Georg Wilhelm de Gennin, hasFamilyName, de Gennin]
-
A.
Shoto
Shoto is an upscale residential neighborhood in Tokyo’s Shibuya ward, known for its quiet streets, cultural institutions, and affluent atmosphere.
-
B.
Uchinanchu
Uchinanchu are the indigenous Ryukyuan people of Okinawa, Japan, with a distinct language, culture, and historical identity separate from mainland Japanese.
-
C.
Junjichu
Junjichu was the Qing dynasty’s powerful Grand Council, a central governing body that advised the emperor and coordinated high-level state affairs in imperial China.
-
D.
Rittō
Rittō is a city in Shiga Prefecture, Japan, known for its residential communities and proximity to the Kyoto–Osaka metropolitan area.
-
E.
Mamoru
Mamoru is a Japanese masculine given name commonly borne by notable figures in politics, arts, and entertainment.
- 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: de Gennin Triple: [Georg Wilhelm de Gennin, hasFamilyName, de Gennin]
Generated description
de Gennin is the family name of Georg Wilhelm de Gennin, a notable military engineer and statesman in Russian history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: de Gennin Target entity description: de Gennin is the family name of Georg Wilhelm de Gennin, a notable military engineer and statesman in Russian history.
-
A.
Shoto
Shoto is an upscale residential neighborhood in Tokyo’s Shibuya ward, known for its quiet streets, cultural institutions, and affluent atmosphere.
-
B.
Uchinanchu
Uchinanchu are the indigenous Ryukyuan people of Okinawa, Japan, with a distinct language, culture, and historical identity separate from mainland Japanese.
-
C.
Junjichu
Junjichu was the Qing dynasty’s powerful Grand Council, a central governing body that advised the emperor and coordinated high-level state affairs in imperial China.
-
D.
Rittō
Rittō is a city in Shiga Prefecture, Japan, known for its residential communities and proximity to the Kyoto–Osaka metropolitan area.
-
E.
Mamoru
Mamoru is a Japanese masculine given name commonly borne by notable figures in politics, arts, and entertainment.
- 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_69ca83ec8db08190a9110df8232885d2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda7903208190b4e29a1591aab78a |
completed | April 1, 2026, 8:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0664565748190a45cf382fca72cbe |
completed | April 4, 2026, 1:15 a.m. |
| NEDg | Description generation | batch_69d06771ba808190a7b10f664425e76e |
completed | April 4, 2026, 1:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d068087ab881908edcfd384a2e3f07 |
completed | April 4, 2026, 1:23 a.m. |
Created at: March 30, 2026, 7:28 p.m.