Triple
T20133768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Artemis |
E490965
|
entity |
| Predicate | epithet |
P743
|
FINISHED |
| Object | Potnia Theron |
—
|
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: Potnia Theron | Statement: [Artemis, epithet, Potnia Theron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Potnia Theron Context triple: [Artemis, epithet, Potnia Theron]
-
A.
Potnia Theron
chosen
Potnia Theron is an ancient Greek title meaning "Mistress of Animals," associated especially with Artemis as a goddess who rules over and protects wild creatures.
-
B.
Megan Boone
Megan Boone is an American actress best known for her leading role as FBI profiler Elizabeth Keen on the television series "The Blacklist."
-
C.
Charlize Theron
Charlize Theron is an Academy Award–winning South African–American actress and producer known for her versatile performances in films such as "Monster," "Mad Max: Fury Road," and "Atomic Blonde."
-
D.
Lucy Lawless
Lucy Lawless is a New Zealand actress and singer best known for her iconic role as the warrior princess Xena in the television series "Xena: Warrior Princess."
-
E.
Kate Beckinsale
Kate Beckinsale is an English actress known for her versatile film career, including prominent roles in action, drama, and comedy films such as the Underworld series and various Hollywood productions.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6676556c481909ffc80cd2009b65a |
completed | April 20, 2026, 5:50 p.m. |
Created at: April 11, 2026, 11:32 p.m.