Triple
T896662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Telemachus |
E19360
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Circe |
E25838
|
NE FINISHED |
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: Circe | Statement: [Telemachus, spouse, Circe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Circe Context triple: [Telemachus, spouse, Circe]
-
A.
Circe
chosen
Circe is a powerful enchantress in Greek mythology, best known for transforming Odysseus’s men into animals and later aiding him on his journey.
-
B.
Hecate
Hecate is a Greek goddess associated with magic, crossroads, the night, and liminal spaces, often depicted as a powerful and mysterious protector and guide.
-
C.
Medusa
Medusa is a famous painting by the Italian Baroque artist Caravaggio depicting the severed, snake-haired head of the Gorgon from Greek mythology at the moment of her death.
-
D.
Daphne
Daphne is a nymph from Greek mythology best known for being pursued by Apollo and transformed into a laurel tree to escape him.
-
E.
Daphne
Daphne is a coastal city in Baldwin County, Alabama, situated along the eastern shore of Mobile Bay.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a4939d37188190848be3d426ebc9ae |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad2550c88190a624eb5627d472ad |
completed | March 1, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac16f9d07c819097b9cf95d2b708f7 |
completed | March 7, 2026, 12:15 p.m. |
Created at: March 1, 2026, 7:39 p.m.