Triple
T6546693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xenia Shestova |
E151026
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Xenia |
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: Xenia | Statement: [Xenia Shestova, givenName, Xenia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xenia Context triple: [Xenia Shestova, givenName, Xenia]
-
A.
Xenia
chosen
Xenia is a female given name of Greek origin, commonly used in Slavic and other European cultures.
-
B.
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.
-
C.
Xania
Xania is a glamorous pop star and key supporting character in the 2006 comedy film "The Pink Panther."
-
D.
Sitra
Sitra is a small island in Bahrain known for its residential communities, industrial facilities, and role in the country’s oil and gas infrastructure.
-
E.
Helena
Helena is the capital city of the U.S. state of Montana, known for its historic gold rush origins and scenic location in the northern Rocky Mountains.
- 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_69c687f3fd60819083bfa583e5bcfa71 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6adf00aa48190a86a9ad4795363d9 |
completed | March 27, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d54b6d8c819083595375194aee12 |
completed | March 27, 2026, 7:06 p.m. |
Created at: March 27, 2026, 1:50 p.m.