Triple
T13180454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ursula |
E313707
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Uršula
Uršula is a given name, commonly used in various European countries as a variant of the name Ursula.
|
E1029534
|
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: Uršula | Statement: [Ursula, hasVariant, Uršula]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uršula Context triple: [Ursula, hasVariant, Uršula]
-
A.
Gertrudis
Gertrudis is a passionate and rebellious sister in "Like Water for Chocolate" whose fiery nature and unconventional choices challenge her family's strict traditions.
-
B.
Violanta
Violanta is a one-act opera by Erich Wolfgang Korngold, known for its lush late-Romantic score and psychologically intense drama set in Renaissance Venice.
-
C.
Luisa
Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
-
D.
Margareta
Margareta is a feminine given name used in various European languages, closely related to and derived from the name Margaret.
-
E.
Ulrika
Ulrika is a central character in the Swedish musical "Kristina från Duvemåla," known as a strong-willed and controversial woman whose life intertwines with the emigrant community.
- 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: Uršula Triple: [Ursula, hasVariant, Uršula]
Generated description
Uršula is a given name, commonly used in various European countries as a variant of the name Ursula.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Uršula Target entity description: Uršula is a given name, commonly used in various European countries as a variant of the name Ursula.
-
A.
Gertrudis
Gertrudis is a passionate and rebellious sister in "Like Water for Chocolate" whose fiery nature and unconventional choices challenge her family's strict traditions.
-
B.
Violanta
Violanta is a one-act opera by Erich Wolfgang Korngold, known for its lush late-Romantic score and psychologically intense drama set in Renaissance Venice.
-
C.
Luisa
Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
-
D.
Margareta
Margareta is a feminine given name used in various European languages, closely related to and derived from the name Margaret.
-
E.
Ulrika
Ulrika is a central character in the Swedish musical "Kristina från Duvemåla," known as a strong-willed and controversial woman whose life intertwines with the emigrant community.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c490ed081908ea54edb25c3de90 |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff116f1c819097e4c53cd1411d78 |
completed | May 3, 2026, 7:53 a.m. |
| NEDg | Description generation | batch_69f7013a368c8190a768f837f6551f5b |
completed | May 3, 2026, 8:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f70386bf008190b984c81103326a67 |
completed | May 3, 2026, 8:12 a.m. |
Created at: April 9, 2026, 9:14 p.m.