Triple
T36303272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alicia Taylor |
E893877
|
entity |
| Predicate | worksForBrand |
P5820
|
FINISHED |
| Object | WWE NXT |
—
|
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: WWE NXT | Statement: [Alicia Taylor, worksForBrand, WWE NXT]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worksForBrand Context triple: [Alicia Taylor, worksForBrand, WWE NXT]
-
A.
worksFor
chosen
Indicates that one entity is employed by or performs work on behalf of another entity, typically an organization or individual.
-
B.
supportsBrand
Indicates that one entity endorses, promotes, or is compatible with a particular brand.
-
C.
compatibleBrand
Indicates that one brand is suitable for use with, or functions properly alongside, another brand.
-
D.
worksWellFor
Indicates that something is effective, suitable, or produces good results for a particular entity, context, or purpose.
-
E.
usedBrandOf
Indicates that one entity made use of or operated an item, product, or service associated with a particular brand.
- 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_69f76e4c1b248190b10667d0213537fe |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcec5f8b448190b48330a19b462d24 |
completed | May 7, 2026, 7:47 p.m. |
| PD | Predicate disambiguation | batch_69fceaf1e23881908ca24160a638e329 |
completed | May 7, 2026, 7:41 p.m. |
Created at: May 3, 2026, 4:09 p.m.