Triple
T25942775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suzanne Verdal |
E653750
|
entity |
| Predicate | inspiredSongWriter |
P6934
|
FINISHED |
| Object | Leonard Cohen |
—
|
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: Leonard Cohen | Statement: [Suzanne Verdal, inspiredSongWriter, Leonard Cohen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredSongWriter Context triple: [Suzanne Verdal, inspiredSongWriter, Leonard Cohen]
-
A.
inspiredSong
Indicates that one entity (such as an event, person, or work) served as the creative inspiration or motivating influence for the creation of a particular song.
-
B.
inspiredAuthor
chosen
Indicates that one entity served as a source of creative or intellectual inspiration for an author entity.
-
C.
inspiredArtist
Indicates that one artist has served as a source of creative influence or inspiration for another artist.
-
D.
songwriterOn
Indicates that one entity serves as the songwriter or composer responsible for creating the musical content associated with another entity.
-
E.
sampledSongwriter
Indicates that one entity has used or incorporated a portion of another entity’s songwriting or composition as a sample in a new work.
- 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_69e7ab3fd2f881908837305e4ba98011 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f621fcea1481909b6f8b3af1ee6820 |
completed | May 2, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69f620dc38088190b56b2b15ed75b3c2 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 22, 2026, 8:41 a.m.