Triple
T19020293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melpomene |
E465464
|
entity |
| Predicate | role |
P268
|
FINISHED |
| Object | Muse of tragedy |
—
|
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: Muse of tragedy | Statement: [Melpomene, role, Muse of tragedy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muse of tragedy Context triple: [Melpomene, role, Muse of tragedy]
-
A.
Muse of tragedy
chosen
The Muse of tragedy is the Greek mythological patron goddess who inspires tragic drama and mournful poetry in the arts.
-
B.
Muse of Poetry
The Muse of Poetry is a classical figure from Greek mythology who inspires poets and presides over the creation of verse and lyrical expression.
-
C.
Tragoedia
Tragoedia is an early chamber opera by British composer Harrison Birtwistle, noted for its modernist style and exploration of ritual and myth.
-
D.
Las Musas
Las Musas is a Madrid Metro station on Line 7 serving the San Blas-Canillejas district in eastern Madrid.
-
E.
the Muses
The Muses are the Greek goddesses of inspiration for the arts, literature, and sciences, traditionally regarded as patrons of creativity and learning.
- 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6de93408190a98dea2319f1af62 |
completed | April 20, 2026, 7:33 a.m. |
Created at: April 10, 2026, 12:02 p.m.