Triple
T3226979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Falling in Love with Love |
E67646
|
entity |
| Predicate | hasNotableVocalType |
P46281
|
FINISHED |
| Object | female vocal feature |
—
|
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: female vocal feature | Statement: [Falling in Love with Love, hasNotableVocalType, female vocal feature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableVocalType Context triple: [Falling in Love with Love, hasNotableVocalType, female vocal feature]
-
A.
hasVocals
Indicates that the subject includes or features vocal elements, such as singing or spoken voice, rather than being purely instrumental or non-vocal.
-
B.
hasVocalPerformanceBy
Indicates that a vocal performance in a work or recording is performed by a specified person or group.
-
C.
hasVocalRangeDescription
Indicates that an entity is associated with a textual description of its vocal range or vocal capabilities.
-
D.
vocalRequirement
Indicates that a particular action, role, or participation involves a specified need or condition related to vocal use, such as speaking or singing.
-
E.
hasVocalPartInMovement
Indicates that a vocal part is present and participates in a specific movement of a larger musical work.
- F. None of above. chosen
Provenance (4 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_69ad858c61888190a31196310d9b30b5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaeb5e67c819082070d108d3613ba |
completed | March 8, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_69ad9e0dc2248190a38c40f4e06cd41c |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada0f9259c8190afbc5ad0fa55436b |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:08 p.m.