Triple
T38559070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Static |
E928026
|
entity |
| Predicate | composerOfSoundtrackAlsoComposedFor |
P113320
|
FINISHED |
| Object | American Beauty |
—
|
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: American Beauty | Statement: [Static, composerOfSoundtrackAlsoComposedFor, American Beauty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: composerOfSoundtrackAlsoComposedFor Context triple: [Static, composerOfSoundtrackAlsoComposedFor, American Beauty]
-
A.
composerOfSoundtrackFor
chosen
Indicates that one entity created the musical score or soundtrack specifically for a work associated with another entity.
-
B.
directorAlsoComposedMusic
Indicates that the person who directed the work also composed its musical score.
-
C.
soundtrackComposerCollaboratedWith
Indicates that a soundtrack composer worked together with another person or entity in creating or producing a soundtrack.
-
D.
scoredBySameComposerAsFilm
Indicates that the work is scored by a composer who also composed the score for the referenced film.
-
E.
sangSoundtrackFor
Indicates that one entity performed or recorded the soundtrack music for a work associated with another entity.
- 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_69f76eb8d1808190a588af29d8b266d6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe349879848190bcd77e3cc3470458 |
completed | May 8, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_69fe31e3cf908190b23ebc2f7fe58722 |
completed | May 8, 2026, 6:56 p.m. |
Created at: May 3, 2026, 4:32 p.m.