Triple
T25728076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Four on Six |
E645162
|
entity |
| Predicate | hasLeadSheetIn |
P24751
|
FINISHED |
| Object | Real Book collections |
—
|
LITERAL FINISHED |
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: Real Book collections | Statement: [Four on Six, hasLeadSheetIn, Real Book collections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLeadSheetIn Context triple: [Four on Six, hasLeadSheetIn, Real Book collections]
-
A.
hasSheetMusicAvailability
chosen
Indicates that there exists accessible sheet music associated with the referenced musical work or performance.
-
B.
hasNoMusicalScore
Indicates that something lacks an associated musical score or written musical accompaniment.
-
C.
hasPianoArrangement
Indicates that one entity has a version or adaptation of it arranged specifically for piano.
-
D.
hasPianoAccompaniment
Indicates that something (such as a musical work or performance) is accompanied by a piano part.
-
E.
hasLyricsIn
Indicates that the lyrics of a work are written or available in a specified language.
- 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_69e77e85254081908d79ee4e8715f283 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f65aa07c048190a5df30d53d8f0cf5 |
completed | May 2, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f659cc571c819097e51e531961d812 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 21, 2026, 11:08 p.m.