Triple
T26206868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Money for Nothing |
E655378
|
entity |
| Predicate | usesVocalMelodyFrom |
P121092
|
FINISHED |
| Object | Don’t Stand So Close to Me |
—
|
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: Don’t Stand So Close to Me | Statement: [Money for Nothing, usesVocalMelodyFrom, Don’t Stand So Close to Me]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesVocalMelodyFrom Context triple: [Money for Nothing, usesVocalMelodyFrom, Don’t Stand So Close to Me]
-
A.
usesVocalSamples
chosen
Indicates that one entity incorporates recorded vocal sounds from another source into its own audio or musical production.
-
B.
hasHookVocalStyle
Indicates that an entity (typically a musical work or performance) features a distinctive, catchy vocal delivery or refrain intended to serve as a memorable hook.
-
C.
isVocalVersionOf
Indicates that one item is a version of another that includes vocal or sung elements, typically derived from an original instrumental or non-vocal form.
-
D.
hasVocals
Indicates that the subject includes or features vocal elements, such as singing or spoken voice, rather than being purely instrumental or non-vocal.
-
E.
hasVocalStyleComparedTo
Indicates a comparison between entities based on the similarity or resemblance of their vocal style.
- 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_69ee5b49adb4819086545280d4ef6337 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f612607c388190ab61d1ac7d18e08d |
completed | May 2, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69f611a9272881909093360472be832c |
completed | May 2, 2026, 3 p.m. |
Created at: April 26, 2026, 8:51 p.m.