Triple
T37464836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ysera, Unleashed |
E931007
|
entity |
| Predicate | copiesShuffled |
P187963
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [Ysera, Unleashed, copiesShuffled, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: copiesShuffled Context triple: [Ysera, Unleashed, copiesShuffled, 7]
-
A.
copiesPrepared
Indicates that one entity has produced or made available a certain number of copies of another entity (such as a document, item, or resource).
-
B.
isCopiedBy
Indicates that an entity serves as the source from which another entity is duplicated or reproduced.
-
C.
copiesShippedInUS
Indicates that a certain number of copies of an item have been shipped to destinations within the United States.
-
D.
copyType
Indicates that one entity is a copy or duplication of another, specifying the type or manner of that copying relationship.
-
E.
mixesElementsOf
Indicates a relationship where one entity combines or blends components, features, or aspects of another entity or set of entities into a unified whole.
- 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_69f76ec1a1148190b0a961f188d621b0 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb92efc5948190a040ba2028bab964 |
completed | May 6, 2026, 7:13 p.m. |
| PD | Predicate disambiguation | batch_69fb8d0b52588190bb29937a43b99b5e |
completed | May 6, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69fb92ee27408190b0116ef2d789abac |
completed | May 6, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:17 p.m.