Triple
T7267724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enodia |
E161019
|
entity |
| Predicate | sharesAttributesWith |
P5696
|
FINISHED |
| Object | Hecate |
E24660
|
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: Hecate | Statement: [Enodia, sharesAttributesWith, Hecate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hecate Context triple: [Enodia, sharesAttributesWith, Hecate]
-
A.
Hecate
chosen
Hecate is a Greek goddess associated with magic, crossroads, the night, and liminal spaces, often depicted as a powerful and mysterious protector and guide.
-
B.
Despoina
Despoina is a mysterious Arcadian goddess in Greek mythology associated with Demeter and often linked to secret fertility and underworld cults.
-
C.
Nyx
Nyx is the primordial Greek goddess of the night, a powerful and ancient deity from whom many other gods and personified forces descend.
-
D.
Circe
Circe is a powerful enchantress in Greek mythology, best known for transforming Odysseus’s men into animals and later aiding him on his journey.
-
E.
Hecale
Hecale is a lost epyllion (short epic poem) by the Hellenistic poet Callimachus that recounted Theseus’ visit to an old woman named Hecale and was influential in later Greek and Roman literature.
- 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_69c6885181008190b419040e22939c7c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eae7b2108190a6910f6655669db5 |
completed | March 27, 2026, 8:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e52b8ea0819096c331f78dee5e4b |
completed | March 28, 2026, 2:26 p.m. |
Created at: March 27, 2026, 2:58 p.m.