Triple
T4956258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sphinx |
E111286
|
entity |
| Predicate | asksQuestionType |
P12351
|
FINISHED |
| Object | riddle about stages of human life |
—
|
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: riddle about stages of human life | Statement: [Sphinx, asksQuestionType, riddle about stages of human life]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: asksQuestionType Context triple: [Sphinx, asksQuestionType, riddle about stages of human life]
-
A.
questionType
chosen
Indicates the specific category or kind of question that an item, query, or prompt belongs to.
-
B.
questionnaireType
Indicates the specific category or kind of questionnaire associated with an entity or interaction.
-
C.
questionForm
Indicates that one entity is expressed or structured in the form of a question directed toward another entity or context.
-
D.
questionText
Indicates the textual content of a question as it is posed or displayed.
-
E.
raisesQuestion
Indicates that one entity causes or prompts a question or doubt to arise about another entity or topic.
- 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_69bd4418390c8190b7e9766a2512ce55 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd71d6ba9c8190932f8d81240c3f56 |
completed | March 20, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3beb008190852fd6150813b252 |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:32 p.m.