Triple
T37814744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yes, Virginia, there is a Santa Claus |
E942742
|
entity |
| Predicate | basedOnQuestionFrom |
P131925
|
FINISHED |
| Object | Virginia O'Hanlon |
—
|
NE NERFINISHED |
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: Virginia O'Hanlon | Statement: [Yes, Virginia, there is a Santa Claus, basedOnQuestionFrom, Virginia O'Hanlon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnQuestionFrom Context triple: [Yes, Virginia, there is a Santa Claus, basedOnQuestionFrom, Virginia O'Hanlon]
-
A.
basedOnQuestion
chosen
Indicates that something is derived from, informed by, or constructed in response to a specific question.
-
B.
basedOnBy
Indicates that one entity is derived from, justified by, or constructed using another entity as its source, foundation, or reference.
-
C.
basedOnFactFrom
Indicates that something is derived, justified, or constructed using factual information obtained from a specified source.
-
D.
basedOnSubject
Indicates that something is derived from, influenced by, or determined according to a particular subject.
-
E.
basedOnProblem
Indicates that one entity is derived from, motivated by, or constructed in response to a particular problem.
- 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_69ff795d25d08190b7584c72be39d309 |
completed | May 9, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69ff78a90fbc8190a62c57456dc1d4ad |
completed | May 9, 2026, 6:10 p.m. |
Created at: May 3, 2026, 4:19 p.m.