Triple
T37317056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple of Hercules Musarum |
E926364
|
entity |
| Predicate | deityRoleOfMuses |
P118406
|
FINISHED |
| Object | goddesses of the arts and inspiration |
—
|
LITERAL 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: goddesses of the arts and inspiration | Statement: [Temple of Hercules Musarum, deityRoleOfMuses, goddesses of the arts and inspiration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deityRoleOfMuses Context triple: [Temple of Hercules Musarum, deityRoleOfMuses, goddesses of the arts and inspiration]
-
A.
numberOfMuses
Indicates the specific count of muses associated with a given subject.
-
B.
mythologicalRole
Indicates the specific function, duty, or status an entity holds within a mythological or legendary context.
-
C.
roleOfReferencedDeity
chosen
Indicates that one entity specifies the function, status, or position held by a deity that is referenced in relation to another entity or context.
-
D.
associatedGoddess
Indicates that one entity is recognized as the goddess traditionally linked or connected to another entity (such as a place, concept, or deity).
-
E.
motherOfPheres
Indicates that one entity is the mother (female parent) of Pheres.
- F. None of above.
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_69f76eb28af88190b093b32e3fd614ab |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb9e1845e881908d19158440cf3b87 |
completed | May 6, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69fb8d08d6988190a00794ac26078348 |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:16 p.m.