Triple
T28144459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Nighttime Spectacular with a Beat |
E714434
|
entity |
| Predicate | connectedToBrand |
P193241
|
FINISHED |
| Object | Disney |
—
|
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: Disney | Statement: [The Nighttime Spectacular with a Beat, connectedToBrand, Disney]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectedToBrand Context triple: [The Nighttime Spectacular with a Beat, connectedToBrand, Disney]
-
A.
partOfBrandNetwork
Indicates that one entity belongs to, or is included within, a larger brand network associated with another entity.
-
B.
brandActiveIn
Indicates that a brand is currently operating, present, or engaged within a specified market, region, or context.
-
C.
hasBrandRole
Indicates that an entity holds a specific functional or organizational role in relation to a particular brand.
-
D.
relatedBrand
Indicates a relationship where one brand is associated with, connected to, or otherwise related to another brand.
-
E.
associatedBrandCategory
Indicates that a brand is linked to or classified under a particular product or service category.
- 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_69efd6b033208190bf74f80a147e2092 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69fd3d46d1f48190a1b20dd063224b7d |
completed | May 8, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69fd3ae1510c81908fe1280efc17feee |
completed | May 8, 2026, 1:22 a.m. |
| PDg | Predicate description generation | batch_69fd3d45ccb8819082f15e60bd33afc9 |
completed | May 8, 2026, 1:32 a.m. |
Created at: April 27, 2026, 9:55 p.m.