Triple
T34801872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wiz |
E1003237
|
entity |
| Predicate | hasBrandRecognitionIn |
P90076
|
FINISHED |
| Object | New York metropolitan area |
—
|
NE NERFINISHED |
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: New York metropolitan area | Statement: [The Wiz, hasBrandRecognitionIn, New York metropolitan area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBrandRecognitionIn Context triple: [The Wiz, hasBrandRecognitionIn, New York metropolitan area]
-
A.
hasBrandRecognitionFor
Indicates that one entity is aware of, recognizes, or can identify the brand of another entity.
-
B.
hasBrandIdentityElement
Indicates that an entity includes or is associated with a specific component of its overall brand identity (such as a logo, color scheme, or tagline).
-
C.
hasBrandArchitecture
Indicates that one entity defines, structures, or governs the brand architecture (the organized system of brands, sub-brands, and their relationships) of another entity.
-
D.
hasGlobalBrand
Indicates that an entity possesses a brand that is recognized and operates across multiple countries or worldwide.
-
E.
hasBrandPresence
chosen
Indicates that an entity maintains an official or recognizable representation (such as branding, marketing, or products) within a particular context, location, or platform.
- 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_69f76db543808190b188c6c86a91491b |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f7be53890081909b1d93f30a8f31c6 |
completed | May 3, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f7bccacbac8190978976324c67db28 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 3:59 p.m.