Triple
T10278026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur |
E241018
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Artūras |
E325012
|
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: Artūras | Statement: [Arthur, hasVariant, Artūras]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Artūras Context triple: [Arthur, hasVariant, Artūras]
-
A.
Zydrunas
Zydrunas is a Lithuanian masculine given name most notably borne by former NBA center Zydrunas Ilgauskas.
-
B.
Artur
chosen
Artur is a masculine given name of Celtic origin, commonly used in various European countries and often associated with the legendary King Arthur.
-
C.
Simas
Simas is a surname most notably associated with David Simas, an American lawyer and former political advisor who served in the Obama administration.
-
D.
Danius
Danius is a Swedish surname most notably borne by Sara Danius, a prominent literary scholar and former permanent secretary of the Swedish Academy.
-
E.
Guiderius
Guiderius is a noble prince and one of the central heroic figures in William Shakespeare’s play "Cymbeline," known for his bravery and hidden royal identity.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d29f0cf08190a2c5e7523d5c731e |
completed | April 7, 2026, 9:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f8286b1881908b54037d1798f74a |
completed | April 9, 2026, 12:51 a.m. |
Created at: April 6, 2026, 11:37 a.m.