Triple
T11544861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whispers of the Old Gods |
E273753
|
entity |
| Predicate | impactOnMeta |
P100007
|
FINISHED |
| Object | dramatically reshaped the Hearthstone competitive meta |
—
|
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: dramatically reshaped the Hearthstone competitive meta | Statement: [Whispers of the Old Gods, impactOnMeta, dramatically reshaped the Hearthstone competitive meta]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOnMeta Context triple: [Whispers of the Old Gods, impactOnMeta, dramatically reshaped the Hearthstone competitive meta]
-
A.
impactOnMarket
Indicates the effect or influence that one factor, event, or action has on market conditions, behavior, or outcomes.
-
B.
impactOrigin
Indicates that one entity is the source or cause from which the impact or effect on another entity originates.
-
C.
encodingImpact
Indicates how one encoding or encoding choice affects, modifies, or constrains another process, representation, or outcome.
-
D.
impactIfCompleted
Indicates the effect or consequence that will occur if the referenced task or action is fully completed.
-
E.
impactOnAuthor
Indicates that one entity has an effect, influence, or consequence on the author.
- 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d886e1d754819089f3b6be3404fa0b |
completed | April 10, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69d8087cbe7c819085680f3d67ccc978 |
completed | April 9, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69d822ef46988190a1c360da4ee14fef |
completed | April 9, 2026, 10:06 p.m. |
Created at: April 8, 2026, 9:37 p.m.