Triple
T2924512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turing test |
E78810
|
entity |
| Predicate | proposedQuestion |
P38652
|
FINISHED |
| Object | Can machines think? |
—
|
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: Can machines think? | Statement: [Turing test, proposedQuestion, Can machines think?]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: proposedQuestion Context triple: [Turing test, proposedQuestion, Can machines think?]
-
A.
questionText
chosen
Indicates the textual content of a question as it is posed or displayed.
-
B.
questionForm
Indicates that one entity is expressed or structured in the form of a question directed toward another entity or context.
-
C.
raisesQuestion
Indicates that one entity causes or prompts a question or doubt to arise about another entity or topic.
-
D.
openingQuestion
Indicates that one entity poses an initial or introductory question to another, typically at the start of an interaction or dialogue.
-
E.
exploresQuestion
Indicates that an entity actively investigates, examines, or probes a question to gain deeper understanding or insight.
- 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_69ad8b0d40b481908bc2a5fa2e73c3fb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad97fd89d88190bc7db4b39058ae3a |
completed | March 8, 2026, 3:38 p.m. |
| PD | Predicate disambiguation | batch_69ad9603ddd88190b8bf91bc7517cc21 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:55 p.m.