Triple
T17531661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mirosław |
E426949
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object |
Miroslavas
Miroslavas is a Lithuanian masculine given name and surname, closely related to the Slavic name Mirosław.
|
E1273078
|
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: Miroslavas | Statement: [Mirosław, relatedName, Miroslavas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miroslavas Context triple: [Mirosław, relatedName, Miroslavas]
-
A.
Birutė
Birutė was a 14th-century Lithuanian noblewoman, traditionally regarded as a priestess from Samogitia and best known as the wife of Grand Duke Kęstutis and the mother of Vytautas the Great.
-
B.
Valtė
Valtė is a Lithuanian feminine given name, used as a diminutive or affectionate form of the name Valter.
-
C.
Gabrielė
Gabrielė is a Lithuanian feminine given name, a localized form of the name Gabriel.
-
D.
Jolanta
Jolanta was the wartime alias used by Polish social worker and Holocaust rescuer Irena Sendler while she helped save Jewish children from the Warsaw Ghetto.
-
E.
Aldona
Aldona is a scenic riverside village in North Goa, India, known for its lush landscapes, historic churches, and traditional Goan charm.
- 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: Miroslavas Triple: [Mirosław, relatedName, Miroslavas]
Generated description
Miroslavas is a Lithuanian masculine given name and surname, closely related to the Slavic name Mirosław.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Miroslavas Target entity description: Miroslavas is a Lithuanian masculine given name and surname, closely related to the Slavic name Mirosław.
-
A.
Birutė
Birutė was a 14th-century Lithuanian noblewoman, traditionally regarded as a priestess from Samogitia and best known as the wife of Grand Duke Kęstutis and the mother of Vytautas the Great.
-
B.
Valtė
Valtė is a Lithuanian feminine given name, used as a diminutive or affectionate form of the name Valter.
-
C.
Gabrielė
Gabrielė is a Lithuanian feminine given name, a localized form of the name Gabriel.
-
D.
Jolanta
Jolanta was the wartime alias used by Polish social worker and Holocaust rescuer Irena Sendler while she helped save Jewish children from the Warsaw Ghetto.
-
E.
Aldona
Aldona is a scenic riverside village in North Goa, India, known for its lush landscapes, historic churches, and traditional Goan charm.
- 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e453695734819092d4dcbab4a4fa01 |
completed | April 19, 2026, 4 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01c94b1ad48190b06c23661ac2d19c |
completed | May 11, 2026, 12:19 p.m. |
| NEDg | Description generation | batch_6a01c9efa2408190992ac4ecea051f2b |
completed | May 11, 2026, 12:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01caed0ed08190b76f485cab1da514 |
completed | May 11, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:49 a.m.