Triple
T38363945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Music for the Flicks |
E892374
|
entity |
| Predicate | hasComposerSpecialization |
P204618
|
FINISHED |
| Object | film scores |
—
|
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: film scores | Statement: [Music for the Flicks, hasComposerSpecialization, film scores]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasComposerSpecialization Context triple: [Music for the Flicks, hasComposerSpecialization, film scores]
-
A.
hasKnownComposer
Indicates that the work is associated with a composer whose identity is known and specified.
-
B.
hasSpecializationRequirement
Indicates that an entity requires a specific specialization or field of expertise as a condition for participation, eligibility, or association.
-
C.
isSpecializedFor
Indicates that one entity is specifically adapted, designed, or focused to perform optimally for a particular function, context, or domain associated with another entity.
-
D.
hasComposerInterestIn
Indicates that a composer has an interest in, or is thematically or creatively engaged with, a particular subject, style, or domain.
-
E.
exportSpecialization
Indicates a relationship where one entity specializes in exporting particular goods, services, or resources to another entity or market.
- 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_69f76e47cb4c8190bdd92cd1db59c0c5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:31 p.m.