Triple
T30157315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Too Close – Microsoft Internet Explorer 9 advertising campaign |
E766555
|
entity |
| Predicate | usedMusicGenre |
P83033
|
FINISHED |
| Object | electronic rock |
—
|
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: electronic rock | Statement: [Too Close – Microsoft Internet Explorer 9 advertising campaign, usedMusicGenre, electronic rock]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedMusicGenre Context triple: [Too Close – Microsoft Internet Explorer 9 advertising campaign, usedMusicGenre, electronic rock]
-
A.
usedGenre
chosen
Indicates that one entity employs or is associated with a particular genre in its creation, presentation, or classification.
-
B.
styleOfMusic
Indicates the musical genre or stylistic category that characterizes a piece of music, artist, or performance.
-
C.
musicGenreCategory
Indicates that one entity is a broader music genre category under which the other music genre is classified.
-
D.
musicGenrePreferred
Indicates that an entity has a liking for or favors a particular music genre over others.
-
E.
usesMusicFor
Indicates that one entity employs or applies music as a means, tool, or resource to achieve or support some purpose, activity, or effect for another 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_69f22479cd088190ab4c6f3fce39d1c5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67ed7f408819091f6c5173b80cd38 |
completed | May 2, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69f673c7a4588190837854f3ef61e6bf |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 7:21 p.m.