Triple
T11677136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Four Pieces for Piano, Op. 119 |
E277520
|
entity |
| Predicate | moodCharacteristics |
P62080
|
FINISHED |
| Object | melancholic |
—
|
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: melancholic | Statement: [Four Pieces for Piano, Op. 119, moodCharacteristics, melancholic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: moodCharacteristics Context triple: [Four Pieces for Piano, Op. 119, moodCharacteristics, melancholic]
-
A.
featuresMood
chosen
Indicates that something includes, presents, or conveys a particular mood or emotional atmosphere.
-
B.
emotionalTrait
Indicates that an entity possesses a particular emotional characteristic, disposition, or affective quality.
-
C.
hasMood
Indicates that an entity is experiencing or characterized by a particular emotional or affective state.
-
D.
lyricalMood
Indicates the prevailing emotional tone or atmosphere conveyed through lyrics or vocal expression in a piece of music.
-
E.
depictsMood
Indicates that one entity visually represents or conveys the emotional state or mood of another entity.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a46000a48190888ad1a6ade052e3 |
completed | April 10, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69d88a77e6e88190b7519100bde76575 |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:40 p.m.