Triple
T16672559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siren Song of the Counter Culture |
E405140
|
entity |
| Predicate | helpedBringBandTo |
P124210
|
FINISHED |
| Object | mainstream recognition |
—
|
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: mainstream recognition | Statement: [Siren Song of the Counter Culture, helpedBringBandTo, mainstream recognition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpedBringBandTo Context triple: [Siren Song of the Counter Culture, helpedBringBandTo, mainstream recognition]
-
A.
associatedBandOrigin
Indicates that there is a relationship between a musical band and the geographic place from which that band originates or is closely associated.
-
B.
sharesBandWith
Indicates that two entities are members of at least one of the same musical bands.
-
C.
formedBandIn
Indicates the place or context in which a musical band was originally created or came together.
-
D.
startedMusicalCareerInBand
Indicates that a person’s musical career began as a member of a specific band.
-
E.
originatedFromBand
Indicates that an entity (such as a musician or group) originally came from or was formed as part of a particular band.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ca276848190b7562d7cb88d21e0 |
completed | April 18, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69e319bc73908190a0e38bc926b31f10 |
completed | April 18, 2026, 5:42 a.m. |
| PDg | Predicate description generation | batch_69e326b9e84881909a9166e65bd850d6 |
completed | April 18, 2026, 6:37 a.m. |
Created at: April 10, 2026, 5:19 a.m.