Triple
T15604329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carola Giedion-Welcker |
E375116
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Welcker
Welcker is a German-language surname borne by various notable individuals, including figures in academia and the arts.
|
E1166837
|
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: Welcker | Statement: [Carola Giedion-Welcker, familyName, Welcker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Welcker Context triple: [Carola Giedion-Welcker, familyName, Welcker]
-
A.
Tucher
Tucher is a German family name historically associated with a prominent patrician and merchant dynasty from Nuremberg.
-
B.
Rodemack
Rodemack is a historic fortified village in northeastern France, renowned for its well-preserved medieval ramparts and picturesque old town.
-
C.
Ehling
Ehling is a German-language surname, likely of similar origin and meaning to the related name Ehle.
-
D.
Wedela
Wedela is a small mining-related township in South Africa’s Gauteng province, situated between the gold-mining areas of Carletonville and Westonaria.
-
E.
Torwali
Torwali is an Indo-Aryan language spoken primarily by the Torwali community in Pakistan’s Swat Valley, known for its distinct phonology and endangered status.
- 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: Welcker Triple: [Carola Giedion-Welcker, familyName, Welcker]
Generated description
Welcker is a German-language surname borne by various notable individuals, including figures in academia and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Welcker Target entity description: Welcker is a German-language surname borne by various notable individuals, including figures in academia and the arts.
-
A.
Tucher
Tucher is a German family name historically associated with a prominent patrician and merchant dynasty from Nuremberg.
-
B.
Rodemack
Rodemack is a historic fortified village in northeastern France, renowned for its well-preserved medieval ramparts and picturesque old town.
-
C.
Ehling
Ehling is a German-language surname, likely of similar origin and meaning to the related name Ehle.
-
D.
Wedela
Wedela is a small mining-related township in South Africa’s Gauteng province, situated between the gold-mining areas of Carletonville and Westonaria.
-
E.
Torwali
Torwali is an Indo-Aryan language spoken primarily by the Torwali community in Pakistan’s Swat Valley, known for its distinct phonology and endangered status.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e7d9328819090e93d55881269a5 |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56d1607c8190a42dc664abe45b32 |
completed | May 9, 2026, 3:46 p.m. |
| NEDg | Description generation | batch_69ff57c304188190afa695ae88cf0234 |
completed | May 9, 2026, 3:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff5920436c81909addad5bb4566ae9 |
completed | May 9, 2026, 3:56 p.m. |
Created at: April 10, 2026, 4:12 a.m.