Triple
T31888887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In the Bleak Midwinter |
E814080
|
entity |
| Predicate | questionInFinalVerse |
P38652
|
FINISHED |
| Object | "What can I give Him?" |
—
|
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: "What can I give Him?" | Statement: [In the Bleak Midwinter, questionInFinalVerse, "What can I give Him?"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: questionInFinalVerse Context triple: [In the Bleak Midwinter, questionInFinalVerse, "What can I give Him?"]
-
A.
questionFormulation
Indicates that one entity formulates, poses, or expresses a question directed toward another entity or context.
-
B.
questionConveyedBy
Indicates that a particular question is expressed, communicated, or represented by a given medium, message, or artifact.
-
C.
questionText
chosen
Indicates the textual content of a question as it is posed or displayed.
-
D.
questionPresented
Indicates that a question has been posed or displayed to an entity for consideration or response.
-
E.
fifthQuestionTopic
Indicates that the relationship specifies the topic or subject matter of the fifth question in a sequence of questions.
- 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_69f348ef817481908440e2250319bcc8 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b21e7e088190832a3db585daea1c |
completed | May 3, 2026, 2:25 a.m. |
| PD | Predicate disambiguation | batch_69f6b14faf608190a25b977c0740729c |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 30, 2026, 11:57 p.m.