Triple
T34249573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Theme from The Godfather |
E878701
|
entity |
| Predicate | vocalVersionLyricist |
P1141
|
FINISHED |
| Object | Larry Kusik |
—
|
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: Larry Kusik | Statement: [Love Theme from The Godfather, vocalVersionLyricist, Larry Kusik]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vocalVersionLyricist Context triple: [Love Theme from The Godfather, vocalVersionLyricist, Larry Kusik]
-
A.
composerOfVocalVersion
Indicates that one entity is the composer who created a vocal (sung or voice-based) version of a work associated with another entity.
-
B.
hasVerseVocalist
Indicates that a person performs the vocal part specifically in the verse section of a musical work or recording.
-
C.
lyricsBy
chosen
Indicates that the lyrics of a song or musical work were written or authored by a specified person or entity.
-
D.
soundtrackLyricist
Indicates that a person is the lyricist who wrote the words for the soundtrack of a work (such as a film, show, or game).
-
E.
isVocalVersionOf
Indicates that one item is a version of another that includes vocal or sung elements, typically derived from an original instrumental or non-vocal form.
- 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_69f349b3618481909df955b063f305b2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7805ce6208190ac6dbd9c97989978 |
completed | May 3, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_69f77956ec648190ba4fb7e9d83fd107 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 1, 2026, 1:56 a.m.