Triple
T19736411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uwe Johnson |
E473994
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Kammin
Kammin is a town in present-day Kamień Pomorski, Poland, historically part of Pomerania in northern Europe.
|
E1392308
|
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: Kammin | Statement: [Uwe Johnson, placeOfBirth, Kammin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kammin Context triple: [Uwe Johnson, placeOfBirth, Kammin]
-
A.
Kamina
Kamina is a bold, charismatic swordsman and leader from the anime "Tengen Toppa Gurren Lagann," known for his unshakable confidence, inspirational speeches, and influence on the protagonist Simon.
-
B.
Kaming
Kaming is a town in Austria that is twinned as a sister city with Queenstown, New Zealand.
-
C.
Kemsing
Kemsing is a village and civil parish in the Sevenoaks District of Kent, England, known for its rural character and location near the North Downs.
-
D.
Kremmen
Kremmen is a small town and municipality in the Oberhavel district of the German state of Brandenburg.
-
E.
Kamtok
Kamtok is an English-based creole widely used as a lingua franca across Cameroon in informal communication, trade, and popular culture.
- 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: Kammin Triple: [Uwe Johnson, placeOfBirth, Kammin]
Generated description
Kammin is a town in present-day Kamień Pomorski, Poland, historically part of Pomerania in northern Europe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kammin Target entity description: Kammin is a town in present-day Kamień Pomorski, Poland, historically part of Pomerania in northern Europe.
-
A.
Kamina
Kamina is a bold, charismatic swordsman and leader from the anime "Tengen Toppa Gurren Lagann," known for his unshakable confidence, inspirational speeches, and influence on the protagonist Simon.
-
B.
Kaming
Kaming is a town in Austria that is twinned as a sister city with Queenstown, New Zealand.
-
C.
Kemsing
Kemsing is a village and civil parish in the Sevenoaks District of Kent, England, known for its rural character and location near the North Downs.
-
D.
Kremmen
Kremmen is a small town and municipality in the Oberhavel district of the German state of Brandenburg.
-
E.
Kamtok
Kamtok is an English-based creole widely used as a lingua franca across Cameroon in informal communication, trade, and popular culture.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6515ddea881909ea831b7bc16d934 |
completed | April 20, 2026, 4:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07b4f944108190b63432ef6d0eb984 |
completed | May 16, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_6a07b5c7a0348190b06f5300c89f0548 |
completed | May 16, 2026, 12:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07b655722c8190be1b30d1e276c580 |
completed | May 16, 2026, 12:12 a.m. |
Created at: April 10, 2026, 1:47 p.m.