Triple
T36141475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Is Free |
E1045316
|
entity |
| Predicate | lyricAuthor |
P1141
|
FINISHED |
| Object | Sheryl Crow |
—
|
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: Sheryl Crow | Statement: [Love Is Free, lyricAuthor, Sheryl Crow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lyricAuthor Context triple: [Love Is Free, lyricAuthor, Sheryl Crow]
-
A.
lyricist
Indicates that one entity is the writer of the words (lyrics) for a musical work associated with another entity.
-
B.
songWrittenBy
Indicates that a particular song was created or composed by a specific person or group.
-
C.
lyricistOfSourcePoem
Indicates that one entity is the writer of the original poem on which another work (such as a song or adaptation) is based.
-
D.
lyricsBy
chosen
Indicates that the lyrics of a song or musical work were written or authored by a specified person or entity.
-
E.
hasWrittenLyricsFor
Indicates that one entity is the lyricist who has created the words for a song or musical work performed or 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_69f76e37ace88190a906b107d388f5d1 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b3e2f3c08190be4fd1ae4fa1266d |
completed | May 3, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bcc47081909fe7d592ac69006c |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:08 p.m.