Triple
T17019875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonas Kazlauskas |
E412920
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jonas Kazlauskas |
E412920
|
NE FINISHED |
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: Jonas Kazlauskas | Statement: [Jonas Kazlauskas, name, Jonas Kazlauskas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonas Kazlauskas Context triple: [Jonas Kazlauskas, name, Jonas Kazlauskas]
-
A.
Jonas Kazlauskas
chosen
Jonas Kazlauskas is a prominent Lithuanian basketball coach known for leading top European clubs and national teams, including Lithuania and Greece.
-
B.
Marius Balchunas
Marius Balchunas is a television producer best known for his executive production work on the drama series "American Odyssey."
-
C.
Rokas Gustys
Rokas Gustys is a Lithuanian former college basketball center best known for his dominant rebounding career at Hofstra University.
-
D.
Arija Bareikis
Arija Bareikis is an American actress best known for her role as Officer Chickie Brown on the television drama series "Southland."
-
E.
Tomas Masiulis
Tomas Masiulis is a retired Lithuanian basketball player best known as a forward for Žalgiris Kaunas and a member of the Lithuanian national team.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d482c3a0819099e6ea4acb0a08ee |
completed | April 18, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b4f9dfc819085639edb5cda1cca |
completed | May 10, 2026, 11:57 p.m. |
Created at: April 10, 2026, 5:33 a.m.