Triple
T10395327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Piel Que Habito (Original Motion Picture Soundtrack) |
E244993
|
entity |
| Predicate | musicMood |
P93686
|
FINISHED |
| Object | suspenseful |
—
|
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: suspenseful | Statement: [La Piel Que Habito (Original Motion Picture Soundtrack), musicMood, suspenseful]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicMood Context triple: [La Piel Que Habito (Original Motion Picture Soundtrack), musicMood, suspenseful]
-
A.
musicForGenre
Indicates that something (such as a piece, track, or work) is intended to be used as or associated with music belonging to a particular genre.
-
B.
musicBy
Indicates that a piece of music, performance, or recording is created, composed, or performed by a specified musical artist or group.
-
C.
musicFocus
Indicates that the primary attention or emphasis is directed toward music or musical aspects.
-
D.
musicUsed
Indicates that one entity makes use of or incorporates another entity as music, such as in a performance, production, or media context.
-
E.
musicalMode
Indicates the specific tonal framework or scale system (mode) in which a piece of music or musical passage is organized.
- F. None of above. chosen
Provenance (4 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9ce6bb08190bfeaba98a126526d |
completed | April 7, 2026, 11:26 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb438c481908dff87c47de2f069 |
completed | April 7, 2026, 10:43 a.m. |
| PDg | Predicate description generation | batch_69d4e944fac4819093b0312aa0efd729 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 12:06 p.m.