Triple
T25942776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suzanne Verdal |
E653750
|
entity |
| Predicate | inspiredSongPerformer |
P28252
|
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, inspiredSongPerformer, Leonard Cohen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredSongPerformer Context triple: [Suzanne Verdal, inspiredSongPerformer, Leonard Cohen]
-
A.
inspiredSong
chosen
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.
inspiredByArtist
Indicates that one entity’s work, style, or creation is influenced or motivated by the artistic output or persona of another artist.
-
C.
inspiredArtist
Indicates that one artist has served as a source of creative influence or inspiration for another artist.
-
D.
inspiredByBand
Indicates that one entity (such as a work, style, or artist) was creatively influenced or motivated by a particular band.
-
E.
inspiredSongReleasedOn
Indicates that a song inspired by something was released on a specific date or in a specific release context.
- 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_69f627aedf548190bc9f53c8a2d67b50 |
completed | May 2, 2026, 4:34 p.m. |
| PD | Predicate disambiguation | batch_69f623a4e1048190bbb8dd1253fdcee9 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 22, 2026, 8:41 a.m.