Triple
T3892843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agnes |
E88099
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Agneta
Agneta is a feminine given name, primarily used in Scandinavian countries, that is a variant of the name Agnes.
|
E396509
|
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: Agneta | Statement: [Agnes, hasVariant, Agneta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agneta Context triple: [Agnes, hasVariant, Agneta]
-
A.
Margareta
Margareta is a feminine given name used in various European languages, closely related to and derived from the name Margaret.
-
B.
Astrid
Astrid is a Belgian princess and member of the country’s royal family.
-
C.
Ingeborg
Ingeborg is a feminine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
-
D.
Gisela
Gisela was a daughter of Charlemagne, the Frankish king and first Holy Roman Emperor, and a member of the Carolingian royal family.
-
E.
Helga
Helga is a feminine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
- 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: Agneta Triple: [Agnes, hasVariant, Agneta]
Generated description
Agneta is a feminine given name, primarily used in Scandinavian countries, that is a variant of the name Agnes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Agneta Target entity description: Agneta is a feminine given name, primarily used in Scandinavian countries, that is a variant of the name Agnes.
-
A.
Margareta
Margareta is a feminine given name used in various European languages, closely related to and derived from the name Margaret.
-
B.
Astrid
Astrid is a Belgian princess and member of the country’s royal family.
-
C.
Ingeborg
Ingeborg is a feminine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
-
D.
Gisela
Gisela was a daughter of Charlemagne, the Frankish king and first Holy Roman Emperor, and a member of the Carolingian royal family.
-
E.
Helga
Helga is a feminine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
- 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_69aed9466d548190939f5217a23ed4ac |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeecce860c8190b16eca2e14f6544f |
completed | March 9, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51c96ff648190b03807547930d51d |
completed | March 14, 2026, 8:30 a.m. |
| NEDg | Description generation | batch_69b51d14269881909b75083e3928163a |
completed | March 14, 2026, 8:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b51d73ecd48190881c15ff6e0daea0 |
completed | March 14, 2026, 8:33 a.m. |
Created at: March 9, 2026, 3:21 p.m.