Triple
T36408664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air |
E896817
|
entity |
| Predicate | wroteSoundtrackFor |
P113320
|
FINISHED |
| Object | The Virgin Suicides |
—
|
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: The Virgin Suicides | Statement: [Air, wroteSoundtrackFor, The Virgin Suicides]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wroteSoundtrackFor Context triple: [Air, wroteSoundtrackFor, The Virgin Suicides]
-
A.
composerOfSoundtrackFor
chosen
Indicates that one entity created the musical score or soundtrack specifically for a work associated with another entity.
-
B.
sangSoundtrackFor
Indicates that one entity performed or recorded the soundtrack music for a work associated with another entity.
-
C.
isSoundtrackOf
Indicates that a piece of music or collection of music serves as the soundtrack for a particular work, such as a film, game, or show.
-
D.
hasSoundtrackWork
Indicates that one entity (typically a media product or work) includes or is associated with another entity that serves as its soundtrack or musical score.
-
E.
directorAlsoComposedMusic
Indicates that the person who directed the work also composed its musical score.
- 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_69f76e53b81081908d3b81860593f38a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.