Triple
T19534889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | crushcrushcrush |
E488742
|
entity |
| Predicate | labelMarketingGenre |
P82410
|
FINISHED |
| Object | alternative 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: alternative rock | Statement: [crushcrushcrush, labelMarketingGenre, alternative rock]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: labelMarketingGenre Context triple: [crushcrushcrush, labelMarketingGenre, alternative rock]
-
A.
labelMarketingConcept
Indicates that something is designated or identified as a specific marketing concept.
-
B.
namedForGenre
Indicates that something is given a name based on or derived from a particular genre.
-
C.
hasGenreOfClaim
Indicates that a claim is categorized or classified under a particular genre or type of claim.
-
D.
labelMarketingFocus
Indicates that something is designated as the primary marketing focus or emphasis within a given context.
-
E.
targetGenre
chosen
Indicates the genre that something is specifically aimed at, categorized under, or intended to belong to.
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6386ddc208190962195b8aa568bed |
completed | April 20, 2026, 2:30 p.m. |
| PD | Predicate disambiguation | batch_69e514c9c00481909b76bda67957e58b |
completed | April 19, 2026, 5:45 p.m. |
Created at: April 10, 2026, 1:41 p.m.