Triple
T5107697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maurice Denis |
E115138
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Muses |
E18781
|
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: The Muses | Statement: [Maurice Denis, notableWork, The Muses]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Muses Context triple: [Maurice Denis, notableWork, The Muses]
-
A.
the Muses
chosen
The Muses are the Greek goddesses of inspiration for the arts, literature, and sciences, traditionally regarded as patrons of creativity and learning.
-
B.
Tenth Muse
The "Tenth Muse" is an honorific epithet celebrating Sappho as an almost divine poet whose genius was deemed worthy of joining the nine classical Muses of Greek mythology.
-
C.
Hesiod and the Muses
"Hesiod and the Muses" is a symbolist painting by Gustave Moreau that depicts the ancient Greek poet Hesiod being inspired by the mythological Muses.
-
D.
The Goddess
The Goddess is a 1915 American silent drama film starring Anita Stewart, produced by the Vitagraph Company of America.
-
E.
Sirens
"Sirens" is a British comedy-drama television series in which Richard Madden stars as a paramedic navigating the darkly humorous and chaotic realities of emergency medical work.
- 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_69bd4440b3348190be1251fd8b7951f1 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75a8ee7881908876859402911e5a |
completed | March 20, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba9ec0fc819085dcd1d27f46f377 |
completed | March 21, 2026, 3:34 p.m. |
Created at: March 20, 2026, 1:41 p.m.