Triple
T29720300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue with Lou |
E752034
|
entity |
| Predicate | includesMaterialCoWrittenWith |
P165530
|
FINISHED |
| Object | Lou Reed |
—
|
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: Lou Reed | Statement: [Blue with Lou, includesMaterialCoWrittenWith, Lou Reed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesMaterialCoWrittenWith Context triple: [Blue with Lou, includesMaterialCoWrittenWith, Lou Reed]
-
A.
includesReworkedMaterialFrom
Indicates that one entity incorporates or is derived from modified, revised, or otherwise reworked material originating in another entity.
-
B.
associatedWithMaterial
Indicates a relationship where something is linked or connected to a particular material, typically as its substance, component, or relevant physical medium.
-
C.
isCollaborativelyWritten
chosen
Indicates that multiple entities jointly contribute to the writing or creation of the same work.
-
D.
coWriterOfWorkItAppearsIn
Indicates that one entity is a co-writer of the work in which the other entity appears.
-
E.
coAuthorAlsoWrote
Indicates that a person who is a co-author of one work also wrote another work, linking shared authorship across multiple creations.
- 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_69f0d628c00c8190ab5ee7e423d7ec3c |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fff59a00a881909b35b799654b3c45 |
completed | May 10, 2026, 3:03 a.m. |
| PD | Predicate disambiguation | batch_69fff4d0a2e081909c972189b33d0128 |
completed | May 10, 2026, 3 a.m. |
Created at: April 28, 2026, 7:36 p.m.