Triple
T17751872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gitanas Nausėda |
E443131
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Gitanas Nausėda |
—
|
NE NERFINISHED |
How this triple was built (2 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: Gitanas Nausėda | Statement: [Gitanas Nausėda, name, Gitanas Nausėda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gitanas Nausėda Context triple: [Gitanas Nausėda, name, Gitanas Nausėda]
-
A.
Gitanas Nausėda
chosen
Gitanas Nausėda is a Lithuanian economist and politician serving as the country’s president.
-
B.
Jonas Basanavičius
Jonas Basanavičius was a prominent Lithuanian national revival leader, physician, and public figure often called the "Patriarch of the Nation" for his role in the country's independence movement.
-
C.
Donatas Malinauskas
Donatas Malinauskas was a Lithuanian politician and public figure who played a key role in the country’s early 20th-century national revival and state-building efforts.
-
D.
Ruta Gedmintas
Ruta Gedmintas is a British actress known for her roles in television series such as His Dark Materials, The Strain, and Lip Service.
-
E.
Valdas Benkunskas
Valdas Benkunskas is a Lithuanian politician who serves as the mayor of the capital city, Vilnius.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4841b3ccc8190b3241b3e0fa4b2e8 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 10:10 a.m.