Triple
T18008196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Merovingian |
E430808
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Persephone |
—
|
NE NERFINISHED |
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: Persephone | Statement: [The Merovingian, associatedWith, Persephone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Persephone Context triple: [The Merovingian, associatedWith, Persephone]
-
A.
Persephone
Persephone is the Greek goddess of spring and queen of the underworld, known for her abduction by Hades and her role in the myth explaining the seasons.
-
B.
Persephone
chosen
Persephone is a character in The Matrix film series, portrayed as the enigmatic and disillusioned wife of the Merovingian who occasionally aids Neo and his allies.
-
C.
Demeter
Demeter is the ancient Greek goddess of agriculture, grain, and the fertility of the earth, central to the Eleusinian Mysteries and the myth of Persephone.
-
D.
Persephassa
Persephassa is a landmark 1969 percussion composition by Iannis Xenakis, renowned for its innovative spatialization of six percussionists surrounding the audience.
-
E.
Euphrosyne
Euphrosyne is one of the Three Graces in Greek mythology, embodying joy, mirth, and festivity.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b51d44088190bfcd35e532a4c02a |
completed | April 19, 2026, 10:57 a.m. |
Created at: April 10, 2026, 10:24 a.m.