Triple
T6888762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xenia |
E158990
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Xénia |
E158990
|
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: Xénia | Statement: [Xenia, hasVariant, Xénia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xénia Context triple: [Xenia, hasVariant, Xénia]
-
A.
Xenia Onatopp
Xenia Onatopp is a sadistic and lethal assassin from the James Bond film "GoldenEye," notorious for killing her victims with her powerful thighs.
-
B.
Xenia
chosen
Xenia is a female given name of Greek origin, commonly used in Slavic and other European cultures.
-
C.
Xeniya
Xeniya is a feminine given name, commonly used in Slavic countries as a variant of the name Xenia.
-
D.
Cleeia
Cleeia is a lesser-known figure in Greek mythology, identified as a daughter of the Titan Atlas and thus part of the extended divine family associated with the heavens.
-
E.
Amorina
Amorina is a 19th-century Swedish novel by Carl Jonas Love Almqvist, known for its romantic and psychological depth within early modern Swedish literature.
- 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_69c6883568c8819081db6407e892cccc |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d9101e30819084695ba0003a255c |
completed | March 27, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c748cc2f908190b593cd82133a7b16 |
completed | March 28, 2026, 3:19 a.m. |
Created at: March 27, 2026, 2:23 p.m.