Triple
T37814769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yes, Virginia, there is a Santa Claus |
E942742
|
entity |
| Predicate | questionAnswered |
P147392
|
FINISHED |
| Object | Is there a Santa Claus? |
—
|
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: Is there a Santa Claus? | Statement: [Yes, Virginia, there is a Santa Claus, questionAnswered, Is there a Santa Claus?]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: questionAnswered Context triple: [Yes, Virginia, there is a Santa Claus, questionAnswered, Is there a Santa Claus?]
-
A.
answeredBy
Indicates that a question, request, or problem is responded to or resolved by a particular entity.
-
B.
questionText
Indicates the textual content of a question as it is posed or displayed.
-
C.
questionPresented
Indicates that a question has been posed or displayed to an entity for consideration or response.
-
D.
answerGiven
chosen
Indicates that a response or solution has been provided to a question, request, or problem.
-
E.
questionConveyedBy
Indicates that a particular question is expressed, communicated, or represented by a given medium, message, or artifact.
- 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_69f76ee987588190906506e759be5db3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd0b92f42881908cd77e3f058adcc2 |
completed | May 7, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fd0a3d68d4819094d92040f7c48d7c |
completed | May 7, 2026, 9:55 p.m. |
Created at: May 3, 2026, 4:19 p.m.