Triple
T11745401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eva König |
E279266
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object |
Eva König
Eva König is a relatively obscure individual whose name appears in records but for whom no widely known biographical or contextual information is readily available.
|
E944582
|
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: Eva König | Statement: [Eva König, name, Eva König]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eva König Context triple: [Eva König, name, Eva König]
-
A.
Eva König
Eva König was the wife of German Enlightenment writer Gotthold Ephraim Lessing and is known primarily through her correspondence with him, which offers insight into his personal life and work.
-
B.
Eva Schubach
Eva Schubach is known as a former spouse of Gerhard Schröder, the one-time Chancellor of Germany.
-
C.
Eva Huber
Eva Huber is a notable individual who shares the surname Huber, recognized enough to be specifically cited as a bearer of the name.
-
D.
Eva Döhla
Eva Döhla is a German local politician who serves as the mayor of the city of Hof in Bavaria.
-
E.
Adelheid Zunz
Adelheid Zunz was the wife of the prominent German Jewish scholar and historian Leopold Zunz, a key figure in the development of modern Jewish studies.
- 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: Eva König Triple: [Eva König, name, Eva König]
Generated description
Eva König is a relatively obscure individual whose name appears in records but for whom no widely known biographical or contextual information is readily available.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eva König Target entity description: Eva König is a relatively obscure individual whose name appears in records but for whom no widely known biographical or contextual information is readily available.
-
A.
Eva König
Eva König was the wife of German Enlightenment writer Gotthold Ephraim Lessing and is known primarily through her correspondence with him, which offers insight into his personal life and work.
-
B.
Eva Schubach
Eva Schubach is known as a former spouse of Gerhard Schröder, the one-time Chancellor of Germany.
-
C.
Eva Huber
Eva Huber is a notable individual who shares the surname Huber, recognized enough to be specifically cited as a bearer of the name.
-
D.
Eva Döhla
Eva Döhla is a German local politician who serves as the mayor of the city of Hof in Bavaria.
-
E.
Adelheid Zunz
Adelheid Zunz was the wife of the prominent German Jewish scholar and historian Leopold Zunz, a key figure in the development of modern Jewish studies.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4f2a38c8190a682d8dae1ab9415 |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f019e4f0988190afe0b92f4c9d8073 |
completed | April 28, 2026, 2:22 a.m. |
| NEDg | Description generation | batch_69f043b3c51c8190a764433e86f1333e |
completed | April 28, 2026, 5:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f05aa351888190a31092e6a9aee26b |
completed | April 28, 2026, 6:58 a.m. |
Created at: April 8, 2026, 9:41 p.m.