Triple
T19136198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Demetria |
E468441
|
entity |
| Predicate | honors |
P2354
|
FINISHED |
| Object | Demeter |
—
|
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: Demeter | Statement: [Demetria, honors, Demeter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Demeter Context triple: [Demetria, honors, Demeter]
-
A.
Demeter
chosen
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.
-
B.
DEMETER
DEMETER is a French micro-satellite mission dedicated to studying the effects of human and natural phenomena on the Earth’s ionosphere and electromagnetic environment.
-
C.
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.
-
D.
Persephone
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.
-
E.
Dionyza
Dionyza is a character in Shakespeare’s play "Pericles, Prince of Tyre," known as the jealous and treacherous wife of Cleon who plots against Marina.
- 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3ed0704819098be992297320cc9 |
completed | April 20, 2026, 8:29 a.m. |
Created at: April 10, 2026, 12:05 p.m.