Triple
T4696970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Summer Rental (film score) |
E104169
|
entity |
| Predicate | primaryInstrumental |
P17140
|
FINISHED |
| Object | orchestra |
—
|
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: orchestra | Statement: [Summer Rental (film score), primaryInstrumental, orchestra]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryInstrumental Context triple: [Summer Rental (film score), primaryInstrumental, orchestra]
-
A.
primaryInstrumentalStyle
Indicates the main instrumental style or genre most closely associated with an entity’s musical performance or work.
-
B.
primaryInstrumentAbbreviation
Indicates that one entity is the standard shortened or abbreviated form of the name of another entity’s primary instrument.
-
C.
primaryInstrumentalFocus
chosen
Indicates that one entity serves as the main or most emphasized instrument or means by which another entity performs an action or achieves an effect.
-
D.
secondaryInstrument
Indicates that an entity uses or is associated with a second, supporting instrument in addition to a primary one.
-
E.
primaryInstrumentFamily
Indicates the main family or category of musical instruments with which an entity is primarily associated.
- 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_69bd43df91f481908e9add1b617b60ef |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd650ad0f88190844bfcb46b3071c2 |
completed | March 20, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69bd621ba7448190a53ab1e2897acf71 |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:17 p.m.