Triple
T35809057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RK-Bro |
E1035178
|
entity |
| Predicate | memberContrast |
P41001
|
FINISHED |
| Object | Randy Orton’s intensity vs Riddle’s relaxed attitude |
—
|
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: Randy Orton’s intensity vs Riddle’s relaxed attitude | Statement: [RK-Bro, memberContrast, Randy Orton’s intensity vs Riddle’s relaxed attitude]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memberContrast Context triple: [RK-Bro, memberContrast, Randy Orton’s intensity vs Riddle’s relaxed attitude]
-
A.
registerContrast
Indicates that an entity records or establishes a distinction or difference between two or more items or states.
-
B.
providesContrastWith
Indicates that one entity is used to highlight differences or distinctions when compared with another entity.
-
C.
traditionalContrastWith
Indicates a relationship where one tradition, practice, or belief is explicitly set in opposition or difference to another, highlighting their contrasting characteristics.
-
D.
movementContrastWith
Indicates that one movement or motion pattern is contrasted with another, highlighting differences between them.
-
E.
characterContrast
chosen
Indicates a relationship where two characters are compared to highlight their opposing or significantly differing traits, roles, or behaviors.
- 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_69f76e1762408190b885a8456862e372 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd6a1c1c4881908090053bc359b181 |
completed | May 8, 2026, 4:44 a.m. |
| PD | Predicate disambiguation | batch_69fd696f24d8819091033afacbdaadc5 |
completed | May 8, 2026, 4:41 a.m. |
Created at: May 3, 2026, 4:06 p.m.