Triple
T30196812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Raspberry Award for Worst Screen Couple |
E767653
|
entity |
| Predicate | isParodyAward |
P195585
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Golden Raspberry Award for Worst Screen Couple, isParodyAward, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isParodyAward Context triple: [Golden Raspberry Award for Worst Screen Couple, isParodyAward, true]
-
A.
isAward
Indicates that one entity functions as an award or prize that is given or conferred to another entity.
-
B.
parodies
Indicates that one entity imitates another in an exaggerated or humorous way, often to criticize or comment on the original.
-
C.
isOffensiveAward
Indicates that an award is considered offensive, inappropriate, or disrespectful in nature.
-
D.
surpriseNominee
Indicates that an entity unexpectedly selects or designates another entity as a nominee.
-
E.
awardIsPrecursorOf
Indicates that one award precedes and leads to another award in a sequence or progression.
- 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_69f2247db1108190835c0727c97637c3 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fddac4e2f48190a9301d3422658b29 |
completed | May 8, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69fdda06969c8190b5d033964ea2a690 |
completed | May 8, 2026, 12:41 p.m. |
| PDg | Predicate description generation | batch_69fddac42c4081908568649058e86458 |
completed | May 8, 2026, 12:44 p.m. |
Created at: April 29, 2026, 7:30 p.m.