Triple
T31315286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taylor Swift re-recordings |
E798577
|
entity |
| Predicate | hasBusinessEffect |
P45127
|
FINISHED |
| Object | shift streaming to new versions |
—
|
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: shift streaming to new versions | Statement: [Taylor Swift re-recordings, hasBusinessEffect, shift streaming to new versions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBusinessEffect Context triple: [Taylor Swift re-recordings, hasBusinessEffect, shift streaming to new versions]
-
A.
hasBusiness
Indicates that one entity owns, operates, or is formally associated with a business entity.
-
B.
hasEffectIn
Indicates that one entity produces, causes, or exerts an effect within a specified context, system, or environment.
-
C.
impactOnBusiness
chosen
Indicates the effect or influence that one factor, event, or action has on a business’s performance, operations, or outcomes.
-
D.
hasDirectEffect
Indicates that one entity produces an immediate and unmediated impact or change on another entity.
-
E.
hasEconomicImplication
Indicates that one entity’s state, action, or relationship has a direct or indirect impact on the economic conditions, costs, or financial outcomes of another entity or system.
- 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_69f224e1932c81908fef14f7b03a10b7 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f757898fe48190b124dc7301672623 |
completed | May 3, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69f754c484348190948d2a04ff228fb1 |
completed | May 3, 2026, 1:59 p.m. |
Created at: April 29, 2026, 9:15 p.m.