Triple
T26986508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sleeping Beauty problem |
E679749
|
entity |
| Predicate | hasSetupElement |
P188072
|
FINISHED |
| Object | fair coin toss on Sunday |
—
|
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: fair coin toss on Sunday | Statement: [Sleeping Beauty problem, hasSetupElement, fair coin toss on Sunday]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSetupElement Context triple: [Sleeping Beauty problem, hasSetupElement, fair coin toss on Sunday]
-
A.
hasLayoutElement
Indicates that one entity includes, contains, or is associated with a specific layout element as part of its structural or visual arrangement.
-
B.
hasUpdatedElement
Indicates that an element has been modified or replaced with a more recent version within a given context or system.
-
C.
hasRootElement
Indicates that one entity is the primary or top-level element from which the structure or hierarchy of another entity originates.
-
D.
hasControlElement
Indicates that one entity includes or is associated with a component specifically intended to control, regulate, or influence its behavior or operation.
-
E.
hasInstallationElement
Indicates that one entity includes or is composed of another entity as a constituent installation element.
- 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_69eeeb5138ac8190b3c273ddc659a54f |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69fba2877b248190a974eb092243c0c4 |
completed | May 6, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69fb8d06a1b48190a937aa410d159dfa |
completed | May 6, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69fba28684208190921694f23e350c3b |
completed | May 6, 2026, 8:20 p.m. |
Created at: April 27, 2026, 6:49 a.m.