Triple
T10216723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hermine Andermann |
E242463
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object |
Andermann
Andermann is a German-language surname borne by individuals such as Hermine Andermann.
|
E850696
|
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: Andermann | Statement: [Hermine Andermann, hasFamilyName, Andermann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andermann Context triple: [Hermine Andermann, hasFamilyName, Andermann]
-
A.
Gotaas-Larsen
Gotaas-Larsen was a Norwegian shipping company and maritime enterprise that played a key role in the early development of modern cruise operations.
-
B.
Hurler
Hurler is a wooden roller coaster at the Carowinds amusement park known for its high-speed, rough-and-tumble ride experience.
-
C.
Eliassen
Eliassen is a Norwegian surname borne by various notable figures, including scientists, athletes, and public personalities.
-
D.
Witiges
Witiges was a 6th-century king of the Ostrogoths best known for leading the Gothic resistance against the Eastern Roman Empire during the Gothic War in Italy.
-
E.
Joubert
Joubert is a French-origin surname common in South Africa and other countries, borne by various notable figures in politics, sports, and the arts.
- 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: Andermann Triple: [Hermine Andermann, hasFamilyName, Andermann]
Generated description
Andermann is a German-language surname borne by individuals such as Hermine Andermann.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andermann Target entity description: Andermann is a German-language surname borne by individuals such as Hermine Andermann.
-
A.
Gotaas-Larsen
Gotaas-Larsen was a Norwegian shipping company and maritime enterprise that played a key role in the early development of modern cruise operations.
-
B.
Hurler
Hurler is a wooden roller coaster at the Carowinds amusement park known for its high-speed, rough-and-tumble ride experience.
-
C.
Eliassen
Eliassen is a Norwegian surname borne by various notable figures, including scientists, athletes, and public personalities.
-
D.
Witiges
Witiges was a 6th-century king of the Ostrogoths best known for leading the Gothic resistance against the Eastern Roman Empire during the Gothic War in Italy.
-
E.
Joubert
Joubert is a French-origin surname common in South Africa and other countries, borne by various notable figures in politics, sports, and the arts.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa6e544c8190961cdd7f1fbe24e6 |
completed | April 6, 2026, 12:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6a804e8748190b4ebcfa9a0bb889f |
completed | April 8, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69d6d0003434819093e3f82a556db79c |
completed | April 8, 2026, 10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6df3c8f748190923db41ef1a9a03a |
completed | April 8, 2026, 11:05 p.m. |
Created at: April 6, 2026, 11:06 a.m.