Triple
T14915967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xenia Simons Miller |
E371382
|
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 Simons Miller, givenName, Xenia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xenia Context triple: [Xenia Simons Miller, givenName, Xenia]
-
A.
Xenia
chosen
Xenia is a female given name of Greek origin, commonly used in Slavic and other European cultures.
-
B.
Xenia
Xenia is a collection of epigrammatic poems co-written by Johann Wolfgang von Goethe and Friedrich Schiller that satirically targeted their literary opponents during the Weimar Classicism period.
-
C.
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.
-
D.
Xeniya
Xeniya is a feminine given name, commonly used in Slavic countries as a variant of the name Xenia.
-
E.
Alexandera
Alexandera is a feminine given name, used as a variant form of Alexandra.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded62038508190946499cd3552990e |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72bf2120819099df39bdc1da691b |
completed | May 8, 2026, 11:33 p.m. |
Created at: April 10, 2026, 2:31 a.m.