Triple
T18028021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Humble and Kind |
E431311
|
entity |
| Predicate | labelImprint |
P2763
|
FINISHED |
| Object | McGraw Music |
—
|
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: McGraw Music | Statement: [Humble and Kind, labelImprint, McGraw Music]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: McGraw Music Context triple: [Humble and Kind, labelImprint, McGraw Music]
-
A.
McGraw Music
chosen
McGraw Music is a record label associated with country music star Tim McGraw, known for releasing his work including the hit song "Humble and Kind."
-
B.
Mills Music
Mills Music was a prominent American music publishing company known for handling popular jazz and popular song catalogs in the 20th century.
-
C.
Orwig Music Library
Orwig Music Library is Brown University’s specialized library dedicated to music collections, resources, and research support.
-
D.
Faber Music
Faber Music is a British music publishing company known for representing contemporary classical composers and educational music catalogues.
-
E.
Mendel Music Library
Mendel Music Library is Princeton University’s specialized library dedicated to music research, scores, recordings, and related scholarly resources.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4be332a7081909124abdd98430a8a |
completed | April 19, 2026, 11:36 a.m. |
Created at: April 10, 2026, 10:25 a.m.