Triple
T8941488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Jolson |
E212909
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Seredžius |
E745676
|
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: Seredžius | Statement: [Al Jolson, placeOfBirth, Seredžius]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seredžius Context triple: [Al Jolson, placeOfBirth, Seredžius]
-
A.
Seredžius, Lithuania
chosen
Seredžius, Lithuania is a small town in central Lithuania situated near the confluence of the Nemunas and Dubysa rivers, known for its historic hillforts and scenic landscapes.
-
B.
Marčiulionis
Marčiulionis is a Lithuanian surname most famously associated with Šarūnas Marčiulionis, a pioneering European guard in the NBA and a key figure in Lithuanian basketball history.
-
C.
Švenčionys
Švenčionys is a small historic town in eastern Lithuania known for its multicultural past and former Jewish community.
-
D.
Kėdainiai
Kėdainiai is a historic city in central Lithuania known for its well-preserved old town and multicultural heritage.
-
E.
Elektrėnai
Elektrėnai is a Lithuanian town best known for its major thermal power plant and artificial reservoir, which have made it an important energy and recreational center in the country.
- 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_69ca839694c88190b324ffeb43d23b08 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66b9c14c8190b80c3df0cdba2747 |
completed | April 1, 2026, 12:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc1efdea881908b2c264d1c39c6ec |
completed | April 3, 2026, 1:34 p.m. |
Created at: March 30, 2026, 6:58 p.m.