Triple
T28349567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Would You Rather? |
E718053
|
entity |
| Predicate | usesQuestionFormat |
P126962
|
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: [Would You Rather?, usesQuestionFormat, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesQuestionFormat Context triple: [Would You Rather?, usesQuestionFormat, true]
-
A.
questionForm
Indicates that one entity is expressed or structured in the form of a question directed toward another entity or context.
-
B.
questionFormulation
Indicates that one entity formulates, poses, or expresses a question directed toward another entity or context.
-
C.
asksAndAnswersFormat
Indicates that the same entity both poses a question and provides its answer, typically in a structured or predefined format.
-
D.
questionAsksWhether
Indicates that one entity poses a question to determine if a particular condition, fact, or proposition is true or not.
-
E.
questionStyle
chosen
Indicates the manner or format in which a question is posed or expressed.
- 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_69eff6ec27b481908c8d7b86c47893d9 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f64c09bb108190844fb88c3cc8ebcf |
completed | May 2, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69f641e2f1708190b45b48d6a43c51d2 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 28, 2026, 12:45 a.m.