Triple
T26898135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frozen: Original Motion Picture Soundtrack |
E677948
|
entity |
| Predicate | includesScoreBy |
P194801
|
FINISHED |
| Object | Christophe Beck |
—
|
NE NERFINISHED |
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: Christophe Beck | Statement: [Frozen: Original Motion Picture Soundtrack, includesScoreBy, Christophe Beck]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesScoreBy Context triple: [Frozen: Original Motion Picture Soundtrack, includesScoreBy, Christophe Beck]
-
A.
isPartOfScoreBy
Indicates that something constitutes a component or segment within a larger score or musical composition.
-
B.
includesNewScoreBy
Indicates that an entity incorporates or contains a newly added score produced by another entity.
-
C.
isScoreFor
Indicates that one value represents the score or result associated with a particular entity, event, or performance.
-
D.
hasScoreBy
Indicates that one entity possesses or is associated with a score that was assigned, produced, or determined by another entity.
-
E.
usesScoreBy
Indicates that one entity evaluates, ranks, or measures another entity according to a specified scoring method or metric.
- 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_69eee9befee48190a26f214faa867be7 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69fd884cb2b48190b6acd473430d9e19 |
completed | May 8, 2026, 6:53 a.m. |
| PD | Predicate disambiguation | batch_69fd8709ca208190a8bab836f0156af5 |
completed | May 8, 2026, 6:47 a.m. |
| PDg | Predicate description generation | batch_69fd884b9d908190833de9500ff6d62a |
completed | May 8, 2026, 6:52 a.m. |
Created at: April 27, 2026, 5:49 a.m.