Triple
T19558814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry Potter and the Goblet of Fire film score |
E489387
|
entity |
| Predicate | usesMusicalMotifs |
P60129
|
FINISHED |
| Object | dark themes |
—
|
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: dark themes | Statement: [Harry Potter and the Goblet of Fire film score, usesMusicalMotifs, dark themes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesMusicalMotifs Context triple: [Harry Potter and the Goblet of Fire film score, usesMusicalMotifs, dark themes]
-
A.
usesMotifsFrom
Indicates that one entity incorporates or draws upon recurring themes, patterns, or elements that originate from another entity.
-
B.
usesMusicalElement
chosen
Indicates that one entity employs or incorporates a particular musical element (such as rhythm, melody, harmony, or timbre) in its composition, performance, or structure.
-
C.
hasMusical
Indicates that one entity features, includes, or is associated with a musical work, performance, or musical component.
-
D.
hasMusicalStyleCharacteristic
Indicates that something possesses or exhibits a particular musical style as a defining characteristic.
-
E.
hasMusicalSettingsBy
Indicates that a work has been set to music or musically arranged by a specified creator or composer.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63f723d5081909553a4363b579a6b |
completed | April 20, 2026, 3 p.m. |
| PD | Predicate disambiguation | batch_69e514d4df3c8190b7e9b3b4fdf9452a |
completed | April 19, 2026, 5:45 p.m. |
Created at: April 10, 2026, 1:42 p.m.