Triple
T34010470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quite Interesting |
E872095
|
entity |
| Predicate | usesQuestionStyle |
P126962
|
FINISHED |
| Object | trick questions |
—
|
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: trick questions | Statement: [Quite Interesting, usesQuestionStyle, trick questions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesQuestionStyle Context triple: [Quite Interesting, usesQuestionStyle, trick questions]
-
A.
questionStyle
chosen
Indicates the manner or format in which a question is posed or expressed.
-
B.
questionAsksWhether
Indicates that one entity poses a question to determine if a particular condition, fact, or proposition is true or not.
-
C.
answerStyle
Indicates the manner, format, or tone in which a response or answer is expressed.
-
D.
canAsk
Indicates that one entity has the ability or permission to pose a question or make a request to another entity.
-
E.
promptType
Indicates the specific category or style of a prompt that characterizes how an instruction or request is framed or intended to be interpreted.
- 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_69f349a08848819084b348d64c1879c3 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70b966860819089cf92927f47c5f1 |
completed | May 3, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:51 a.m.