Triple
T22862680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Žydrūnas Ilgauskas |
E566966
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Žydrūnas |
—
|
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: Žydrūnas | Statement: [Žydrūnas Ilgauskas, givenName, Žydrūnas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Žydrūnas Context triple: [Žydrūnas Ilgauskas, givenName, Žydrūnas]
-
A.
Valančiūnas
Valančiūnas is a Lithuanian surname most prominently associated with NBA center Jonas Valančiūnas.
-
B.
Zydrunas
chosen
Zydrunas is a Lithuanian masculine given name most notably borne by former NBA center Zydrunas Ilgauskas.
-
C.
Martynas
Martynas is a Lithuanian masculine given name commonly borne by notable figures such as athletes and public personalities.
-
D.
Vilniaus Kibirkštis
Vilniaus Kibirkštis is a prominent women's basketball club based in Vilnius, Lithuania, known for competing at the top level of Lithuanian and European basketball.
-
E.
Vytenis
Vytenis was a Grand Duke of Lithuania in the early 14th century who significantly expanded and consolidated the Lithuanian state before the reign of Gediminas.
- 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_69e24589083081908d5694c4fdc80086 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17efdc3b08190be03d856aa86b277 |
completed | April 29, 2026, 3:46 a.m. |
Created at: April 17, 2026, 3:38 p.m.