Triple
T15088305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Myrna Dell |
E360341
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Nocturne |
E908518
|
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: Nocturne | Statement: [Myrna Dell, notableWork, Nocturne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nocturne Context triple: [Myrna Dell, notableWork, Nocturne]
-
A.
Nocturne
"Nocturne" is a widely cherished Finnish poem by Eino Leino, known for its lyrical evocation of nature, melancholy, and introspection.
-
B.
Nocturne
"Nocturne" is a lyrical poem by Harlem Renaissance writer Gwendolyn Bennett that evokes nocturnal imagery to explore themes of beauty, longing, and Black identity.
-
C.
Nocturne
chosen
Nocturne is a 1946 film noir mystery centered on a detective investigating the suspicious death of a famous composer.
-
D.
Nocturnes
Nocturnes is an orchestral composition by Claude Debussy, celebrated for its impressionistic evocation of night atmospheres and innovative use of tone color and harmony.
-
E.
Nocturnes
Nocturnes is a section of Paul Verlaine’s poetry collection "Poèmes saturniens," featuring melancholic, musical poems that explore night, solitude, and introspection.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00276d1608190bc310d5b86ecd1d5 |
completed | April 15, 2026, 9:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae1ba4208190b1e8c55668a1b422 |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 3:04 a.m.