Triple
T7276585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dominika Egorova |
E163044
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Dominika
Dominika is a feminine given name of Slavic origin, commonly used in countries such as Poland, the Czech Republic, and Slovakia.
|
E653803
|
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: Dominika | Statement: [Dominika Egorova, givenName, Dominika]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dominika Context triple: [Dominika Egorova, givenName, Dominika]
-
A.
Leona Vicario
Leona Vicario was a prominent Mexican independence heroine, journalist, and supporter of the insurgent cause against Spanish rule in the early 19th century.
-
B.
Donna
Donna is a feminine given name of Italian origin that has been widely used in English-speaking countries.
-
C.
Claricia Scotti
Claricia Scotti was a medieval Italian noblewoman known primarily as the mother of Pope Innocent III.
-
D.
Adrienne
Adrienne is a feminine given name of French origin, commonly used in English- and French-speaking countries.
-
E.
Claretta
Claretta was the nickname of Claretta Petacci, the Italian mistress of dictator Benito Mussolini who was executed alongside him in 1945.
- 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: Dominika Triple: [Dominika Egorova, givenName, Dominika]
Generated description
Dominika is a feminine given name of Slavic origin, commonly used in countries such as Poland, the Czech Republic, and Slovakia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dominika Target entity description: Dominika is a feminine given name of Slavic origin, commonly used in countries such as Poland, the Czech Republic, and Slovakia.
-
A.
Leona Vicario
Leona Vicario was a prominent Mexican independence heroine, journalist, and supporter of the insurgent cause against Spanish rule in the early 19th century.
-
B.
Donna
Donna is a feminine given name of Italian origin that has been widely used in English-speaking countries.
-
C.
Claricia Scotti
Claricia Scotti was a medieval Italian noblewoman known primarily as the mother of Pope Innocent III.
-
D.
Adrienne
Adrienne is a feminine given name of French origin, commonly used in English- and French-speaking countries.
-
E.
Claretta
Claretta was the nickname of Claretta Petacci, the Italian mistress of dictator Benito Mussolini who was executed alongside him in 1945.
- 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_69c6885c5964819085b209701769877f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb2f239c819097c1ac4d6de8b0e5 |
completed | March 27, 2026, 8:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db3110688190bf52180ea159c91c |
completed | March 28, 2026, 1:44 p.m. |
| NEDg | Description generation | batch_69c7dbf65fb08190ae8a9c4e57d42e97 |
completed | March 28, 2026, 1:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7dc6873a081908ea4e953430ec20b |
completed | March 28, 2026, 1:49 p.m. |
Created at: March 27, 2026, 2:59 p.m.