Triple
T3317852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kansas City Wiz |
E69722
|
entity |
| Predicate | rebrandedToAvoid |
P6275
|
FINISHED |
| Object | trademark conflict with The Wiz retail chain |
—
|
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: trademark conflict with The Wiz retail chain | Statement: [Kansas City Wiz, rebrandedToAvoid, trademark conflict with The Wiz retail chain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rebrandedToAvoid Context triple: [Kansas City Wiz, rebrandedToAvoid, trademark conflict with The Wiz retail chain]
-
A.
formerBrand
Indicates that an entity was previously used or recognized as a brand for another entity but is no longer its current brand.
-
B.
nameUsedToAvoid
chosen
Indicates that one entity uses a particular name or designation in order to avoid another entity or an unwanted situation involving that entity.
-
C.
usedBrand
Indicates that an entity has utilized, applied, or operated a particular brand in some context.
-
D.
brandRevival
Indicates the process or action of restoring a declining or dormant brand to renewed strength, relevance, and market presence.
-
E.
brand
Indicates that one entity is the commercial brand or label under which another entity (such as a product, service, or organization) is marketed or identified.
- 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_69ad85a0bb048190a5458d2738012d61 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb113cb6c8190989b06476f6015fd |
completed | March 8, 2026, 5:25 p.m. |
| PD | Predicate disambiguation | batch_69ada4282730819092aa39c5f9269df0 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:11 p.m.