Triple
T26185694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Let Me Love You |
E654820
|
entity |
| Predicate | hasDrumProgramming |
P160734
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Let Me Love You, hasDrumProgramming, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDrumProgramming Context triple: [Let Me Love You, hasDrumProgramming, true]
-
A.
hasDrumProgrammingBy
Indicates that the drum programming for a work (such as a song or track) is created or performed by a specified entity.
-
B.
hasDrumIntro
Indicates that a musical piece begins with an introductory section primarily featuring drums.
-
C.
hasColumnDrums
Indicates that an entity includes or is associated with a column dedicated to drums or drum-related data.
-
D.
hasDrumBreakSample
Indicates that one audio track or piece of music contains a sampled drum break taken from another recording.
-
E.
usesDrums
Indicates that an entity employs drums as instruments or tools in performing an action or carrying out an activity.
- 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_69ee5b469bc081908fe486453fdad810 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60c9d19748190b1e3405d56028876 |
completed | May 2, 2026, 2:39 p.m. |
| PD | Predicate disambiguation | batch_69f602d07590819085ac34b189613104 |
completed | May 2, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69f603b90c94819088d62cb9489e95ff |
completed | May 2, 2026, 2:01 p.m. |
Created at: April 26, 2026, 8:42 p.m.