Triple
T1421638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grete Hermann |
E30237
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Grete
Grete is the given name of Grete Hermann, a German mathematician and philosopher known for her pioneering work in the foundations of quantum mechanics and computer algebra.
|
E163883
|
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: Grete | Statement: [Grete Hermann, givenName, Grete]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grete Context triple: [Grete Hermann, givenName, Grete]
-
A.
Astrid
Astrid is a Belgian princess and member of the country’s royal family.
-
B.
Franziska
Franziska is a feminine given name of German origin, closely related to and cognate with the name Frances.
-
C.
Bettina
Bettina is a feminine given name of Hebrew origin, often considered a diminutive of Elisabeth or Benedetta and used in various European languages.
-
D.
Hilde
Hilde is a feminine given name of Germanic origin, often associated with meanings related to battle or strength.
-
E.
Fanny Koch
Fanny Koch was the mother of Elsa Einstein, making her the maternal grandmother of physicist Albert Einstein.
- 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: Grete Triple: [Grete Hermann, givenName, Grete]
Generated description
Grete is the given name of Grete Hermann, a German mathematician and philosopher known for her pioneering work in the foundations of quantum mechanics and computer algebra.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grete Target entity description: Grete is the given name of Grete Hermann, a German mathematician and philosopher known for her pioneering work in the foundations of quantum mechanics and computer algebra.
-
A.
Werna Gerhardsen
Werna Gerhardsen was a Norwegian politician and Labour Party activist, best known as the influential wife and political partner of long-serving prime minister Einar Gerhardsen.
-
B.
Astrid
Astrid is a Belgian princess and member of the country’s royal family.
-
C.
Franziska
Franziska is a feminine given name of German origin, closely related to and cognate with the name Frances.
-
D.
Bettina
Bettina is a feminine given name of Hebrew origin, often considered a diminutive of Elisabeth or Benedetta and used in various European languages.
-
E.
Hilde
Hilde is a feminine given name of Germanic origin, often associated with meanings related to battle or strength.
- 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_69a498fb823c8190a67ce4c4837e641a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c4915bfc8190a631330b7c495b49 |
completed | March 1, 2026, 10:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad015f5ad08190aaa0d1063432af2b |
completed | March 8, 2026, 4:55 a.m. |
| NEDg | Description generation | batch_69ad01f8028881909af95e9f61a17e88 |
completed | March 8, 2026, 4:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad02c618c48190abf3e16d9f85e703 |
completed | March 8, 2026, 5:01 a.m. |
Created at: March 1, 2026, 8 p.m.