Triple
T10278024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur |
E241018
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Artur |
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: Artur | Statement: [Arthur, hasVariant, Artur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Artur Context triple: [Arthur, hasVariant, Artur]
-
A.
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.
-
B.
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.
-
C.
Ingenried
Ingenried is a small rural municipality in the Weilheim-Schongau district of Bavaria in southern Germany.
-
D.
Ludwik
Ludwik is a given name, primarily used in Polish, that corresponds to the name Ludwig in other European languages.
-
E.
Walternate
Walternate is the alternate-universe version of Walter Bishop and the powerful, morally complex Secretary of Defense in the TV series "Fringe."
- 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_69d71cf7f644819085dd687b286004ad |
completed | April 9, 2026, 3:28 a.m. |
Created at: April 6, 2026, 11:37 a.m.