Triple
T36912329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Pearl (for Variation 25) |
E912942
|
entity |
| Predicate | describesMood |
P62080
|
FINISHED |
| Object | lamenting quality |
—
|
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: lamenting quality | Statement: [Black Pearl (for Variation 25), describesMood, lamenting quality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: describesMood Context triple: [Black Pearl (for Variation 25), describesMood, lamenting quality]
-
A.
depictsMood
Indicates that one entity visually represents or conveys the emotional state or mood of another entity.
-
B.
hasMood
Indicates that an entity is experiencing or characterized by a particular emotional or affective state.
-
C.
featuresMood
chosen
Indicates that something includes, presents, or conveys a particular mood or emotional atmosphere.
-
D.
lyricalMood
Indicates the prevailing emotional tone or atmosphere conveyed through lyrics or vocal expression in a piece of music.
-
E.
feels
Indicates that an entity experiences or has a particular emotion, sensation, or internal state in relation to something.
- 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_69f76e879768819085c2fb31a6a5b44b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fdbaa226708190b8ed96e93aad38de |
completed | May 8, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69fdb58b07e48190837e00966de050d4 |
completed | May 8, 2026, 10:06 a.m. |
Created at: May 3, 2026, 4:13 p.m.