Triple
T22170797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Staind |
E547913
|
entity |
| Predicate | roleOfJohnnyApril |
P147243
|
FINISHED |
| Object | bass |
—
|
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: bass | Statement: [Staind, roleOfJohnnyApril, bass]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfJohnnyApril Context triple: [Staind, roleOfJohnnyApril, bass]
-
A.
roleInPaydaySeries
Indicates that an entity has a specific role or involvement within the Payday video game series.
-
B.
roleInAmy
Indicates that an entity has a specific role or function within the context of Amy (e.g., in Amy’s life, work, or activities).
-
C.
roleInRockyIV
Indicates that one entity is the role or character portrayed by another entity in the movie "Rocky IV".
-
D.
roleOfCharacter
Indicates that one entity serves as the narrative or functional role played by a character within a story, scenario, or context.
-
E.
roleOfParker
Indicates that one entity serves as the specific role, function, or position associated with Parker in relation to another entity.
- 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_69e11e3c4c5c81908d336165816b12e0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a67f4dc81909cc5f8d2c1fe6129 |
completed | April 28, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69e71b41555881909b8e22718974d527 |
completed | April 21, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e7222d208c819098b12c13e31af629 |
completed | April 21, 2026, 7:07 a.m. |
Created at: April 16, 2026, 8:34 p.m.