Triple
T34323101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WrestleMania 21 |
E880794
|
entity |
| Predicate | featuredBrandSplit |
P204060
|
FINISHED |
| Object | Yes |
—
|
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: Yes | Statement: [WrestleMania 21, featuredBrandSplit, Yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuredBrandSplit Context triple: [WrestleMania 21, featuredBrandSplit, Yes]
-
A.
hasBrandSplit
Indicates that a single brand has been divided into multiple distinct sub-brands or brand lines.
-
B.
brandingFeature
Indicates that one entity serves as a branding-related characteristic, element, or attribute that helps define or distinguish another entity’s brand identity.
-
C.
distributedBrand
Indicates that one entity serves as a distributor or reseller for the brand of another entity.
-
D.
sharesBrandingWith
Indicates that two entities use the same or closely related branding elements, such as name, logo, or visual identity.
-
E.
popularBrand
Indicates that a brand is widely liked, recognized, or frequently chosen by many people.
- 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_69f349b9cd508190a996a616903b3e6d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a0314e613f88190b5dbf89b9c4203c6 |
completed | May 12, 2026, 11:54 a.m. |
| PD | Predicate disambiguation | batch_6a0314699c1c8190b2a80dc4015e7890 |
completed | May 12, 2026, 11:52 a.m. |
| PDg | Predicate description generation | batch_6a0314e573b08190a8f0e0e4f909cedd |
completed | May 12, 2026, 11:54 a.m. |
Created at: May 1, 2026, 1:57 a.m.