Triple
T21434240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balthasar Permoser |
E528765
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Permoser
Permoser is a surname most notably associated with Balthasar Permoser, a prominent German Baroque sculptor renowned for his work in Dresden.
|
E1483982
|
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: Permoser | Statement: [Balthasar Permoser, familyName, Permoser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Permoser Context triple: [Balthasar Permoser, familyName, Permoser]
-
A.
Bouhler
Bouhler is a German surname most notably associated with Philipp Bouhler, a high-ranking Nazi official and close associate of Adolf Hitler.
-
B.
Dannhauser
Dannhauser is a small town and local municipality in KwaZulu-Natal, South Africa, known historically for coal mining and agriculture.
-
C.
Hufstedler
Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
-
D.
Mathieson
Mathieson is a surname of Scottish origin, typically regarded as a variant of Matheson and derived from a patronymic meaning “son of Matthew.”
-
E.
Morgendorffer
Morgendorffer is the surname of the central family in the animated television series "Daria," including its sardonic protagonist Daria Morgendorffer.
- 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: Permoser Triple: [Balthasar Permoser, familyName, Permoser]
Generated description
Permoser is a surname most notably associated with Balthasar Permoser, a prominent German Baroque sculptor renowned for his work in Dresden.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Permoser Target entity description: Permoser is a surname most notably associated with Balthasar Permoser, a prominent German Baroque sculptor renowned for his work in Dresden.
-
A.
Bouhler
Bouhler is a German surname most notably associated with Philipp Bouhler, a high-ranking Nazi official and close associate of Adolf Hitler.
-
B.
Dannhauser
Dannhauser is a small town and local municipality in KwaZulu-Natal, South Africa, known historically for coal mining and agriculture.
-
C.
Hufstedler
Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
-
D.
Mathieson
Mathieson is a surname of Scottish origin, typically regarded as a variant of Matheson and derived from a patronymic meaning “son of Matthew.”
-
E.
Morgendorffer
Morgendorffer is the surname of the central family in the animated television series "Daria," including its sardonic protagonist Daria Morgendorffer.
- 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_69e0c4569fa081908101baa24f8745db |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b53516d081908f8058a8ee363629 |
completed | April 22, 2026, 11:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09c2af921c8190b4a0259162e8d305 |
completed | May 17, 2026, 1:29 p.m. |
| NEDg | Description generation | batch_6a09c33c37e88190b559bbf98e589487 |
completed | May 17, 2026, 1:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09c3c6a208819096b2e4a2c92b3cb0 |
completed | May 17, 2026, 1:33 p.m. |
Created at: April 16, 2026, 6 p.m.