Triple
T23566593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sweets for My Sweet (album) |
E579386
|
entity |
| Predicate | vocalEnsembleSize |
P42293
|
FINISHED |
| Object | group |
—
|
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: group | Statement: [Sweets for My Sweet (album), vocalEnsembleSize, group]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vocalEnsembleSize Context triple: [Sweets for My Sweet (album), vocalEnsembleSize, group]
-
A.
chorusSize
Indicates the number of participants involved together in a chorus.
-
B.
typicalNumberOfVoices
chosen
Indicates the usual or characteristic number of distinct voices or parts involved in performing or realizing something (such as a musical work or texture).
-
C.
sungByEnsemble
Indicates that a musical work or performance is vocally performed by a group of singers acting together as an ensemble.
-
D.
hasApproximateNumberOfMusicians
Indicates that an entity is associated with an estimated or approximate count of musicians involved with it.
-
E.
numberOfChoirs
Indicates the quantity of choirs associated with a given entity or 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_69e245fe24588190888f3aec8407d8e3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1af6d3dcc8190bb127632e101a053 |
completed | April 29, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69f118bcc0b08190b25a8dddfd461a0e |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:35 p.m.