Triple
T17010131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolfram Sievers |
E412676
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Sievers
Sievers is a German-language surname borne by various notable individuals across fields such as science, sports, and the arts.
|
E1244642
|
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: Sievers | Statement: [Wolfram Sievers, familyName, Sievers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sievers Context triple: [Wolfram Sievers, familyName, Sievers]
-
A.
Shriever
Shriever is a surname, a variant spelling of "Shriver," borne by various individuals of English-speaking origin.
-
B.
Sivert
Sivert is a character in Knut Hamsun’s novel "Growth of the Soil," depicted as one of Isak’s sons who embodies the continuation of his father’s rural, agrarian legacy.
-
C.
Slichter
Slichter is a surname most notably associated with American physicist Charles P. Slichter, renowned for his pioneering work in nuclear magnetic resonance.
-
D.
Hufstedler
Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
-
E.
Silliphant
Silliphant is a surname most notably associated with Stirling Silliphant, the Academy Award–winning American screenwriter known for works like "In the Heat of the Night."
- 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: Sievers Triple: [Wolfram Sievers, familyName, Sievers]
Generated description
Sievers is a German-language surname borne by various notable individuals across fields such as science, sports, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sievers Target entity description: Sievers is a German-language surname borne by various notable individuals across fields such as science, sports, and the arts.
-
A.
Shriever
Shriever is a surname, a variant spelling of "Shriver," borne by various individuals of English-speaking origin.
-
B.
Sivert
Sivert is a character in Knut Hamsun’s novel "Growth of the Soil," depicted as one of Isak’s sons who embodies the continuation of his father’s rural, agrarian legacy.
-
C.
Slichter
Slichter is a surname most notably associated with American physicist Charles P. Slichter, renowned for his pioneering work in nuclear magnetic resonance.
-
D.
Hufstedler
Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
-
E.
Silliphant
Silliphant is a surname most notably associated with Stirling Silliphant, the Academy Award–winning American screenwriter known for works like "In the Heat of the Night."
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d47a8444819081f1262eb7dbda40 |
completed | April 18, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc241ec88190a3e868ab88b26f09 |
completed | May 10, 2026, 7:27 p.m. |
| NEDg | Description generation | batch_6a0114d7d03c8190943777f4eac956fd |
completed | May 10, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01159a08b081908fc82adc7cca532a |
completed | May 10, 2026, 11:32 p.m. |
Created at: April 10, 2026, 5:33 a.m.