Triple
T22893673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Despina |
E568108
|
entity |
| Predicate | hasNameVariant |
P457
|
FINISHED |
| Object | Despoena |
—
|
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: Despoena | Statement: [Despina, hasNameVariant, Despoena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Despoena Context triple: [Despina, hasNameVariant, Despoena]
-
A.
Despoena
chosen
Despoena is a figure from Greek mythology, often regarded as a mysterious goddess associated with Arcadian cults and sometimes identified as a daughter of Demeter.
-
B.
Desfina
Desfina is a town in central Greece situated in the historical region of Phocis.
-
C.
Defraigne
Defraigne is the surname of Christine Defraigne, a Belgian politician known for her role in national politics.
-
D.
Albreda
Albreda is a historic riverside settlement in The Gambia that served as a key trading post and focal point in the transatlantic slave trade.
-
E.
Delevanti
Delevanti is a surname most notably associated with British character actor Cyril Delevanti, who appeared in numerous films and television shows in the mid-20th century.
- 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_69e2458c23ec81908fa2570692c6614f |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f17fc76be48190af9aa54a84b2d7bf |
completed | April 29, 2026, 3:49 a.m. |
Created at: April 17, 2026, 3:40 p.m.