Triple
T18195888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ilithyia |
E435659
|
entity |
| Predicate | associatedWithDeity |
P1481
|
FINISHED |
| Object | Artemis |
—
|
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: Artemis | Statement: [Ilithyia, associatedWithDeity, Artemis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Artemis Context triple: [Ilithyia, associatedWithDeity, Artemis]
-
A.
Artemis
chosen
Artemis is the Greek goddess of the hunt, wilderness, and childbirth, often depicted as a virgin huntress and protector of young women and animals.
-
B.
Artémis
Artémis is the French holding company of the Pinault family, overseeing a diverse portfolio of luxury, wine, art, and investment assets.
-
C.
Artemis of Bana-Mighdall
Artemis of Bana-Mighdall is a fierce Amazon warrior from DC Comics, often associated with Wonder Woman as both rival and ally and known for briefly taking on the mantle of Wonder Woman herself.
-
D.
Artemis Pebdani
Artemis Pebdani is an American actress and comedian known for her roles on television series such as It's Always Sunny in Philadelphia, Scandal, and Son of Zorn.
-
E.
Athena
Athena is a central character in Helen Garner’s novella "The Children’s Bach," around whom much of the story’s emotional and relational tension revolves.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0d2ad5881909d846f3851ac9ec9 |
completed | April 19, 2026, 2:04 p.m. |
Created at: April 10, 2026, 10:31 a.m.