Triple
T2924530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turing test |
E78810
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Visual Turing test
The Visual Turing test is an evaluation in which a machine’s ability to interpret or generate visual information is judged against human performance to see if it can be distinguished from that of a person.
|
E310466
|
NE FINISHED |
How this triple was built (4 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: Visual Turing test | Statement: [Turing test, hasVariant, Visual Turing test]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Visual Turing test Context triple: [Turing test, hasVariant, Visual Turing test]
-
A.
Turing test
The Turing test is a benchmark in artificial intelligence that evaluates a machine's ability to exhibit human-like intelligence by determining whether its responses are indistinguishable from those of a human in conversation.
-
B.
Show and Tell: A Neural Image Caption Generator
"Show and Tell: A Neural Image Caption Generator" is a pioneering deep learning model that automatically generates natural-language descriptions for images by combining convolutional and recurrent neural networks.
-
C.
Visual Component Library
Visual Component Library is Delphi’s native GUI framework that provides a rich set of reusable visual and non-visual components for building Windows applications.
-
D.
CLIP
CLIP is an OpenAI model that learns joint representations of images and text, enabling tasks like zero-shot image classification and natural language-based image retrieval.
-
E.
Visual Concepts
Visual Concepts is a video game development studio best known for creating the long-running NBA 2K basketball simulation series.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Visual Turing test Triple: [Turing test, hasVariant, Visual Turing test]
Generated description
The Visual Turing test is an evaluation in which a machine’s ability to interpret or generate visual information is judged against human performance to see if it can be distinguished from that of a person.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Visual Turing test Target entity description: The Visual Turing test is an evaluation in which a machine’s ability to interpret or generate visual information is judged against human performance to see if it can be distinguished from that of a person.
-
A.
Turing test
The Turing test is a benchmark in artificial intelligence that evaluates a machine's ability to exhibit human-like intelligence by determining whether its responses are indistinguishable from those of a human in conversation.
-
B.
Show and Tell: A Neural Image Caption Generator
"Show and Tell: A Neural Image Caption Generator" is a pioneering deep learning model that automatically generates natural-language descriptions for images by combining convolutional and recurrent neural networks.
-
C.
Visual Component Library
Visual Component Library is Delphi’s native GUI framework that provides a rich set of reusable visual and non-visual components for building Windows applications.
-
D.
CLIP
CLIP is an OpenAI model that learns joint representations of images and text, enabling tasks like zero-shot image classification and natural language-based image retrieval.
-
E.
Visual Concepts
Visual Concepts is a video game development studio best known for creating the long-running NBA 2K basketball simulation series.
- F. None of above. chosen
Provenance (5 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_69ad97bf2df88190bd4f1e90d4656507 |
completed | March 8, 2026, 3:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0563a81788190b94fab34e41a76e7 |
completed | March 10, 2026, 5:34 p.m. |
| NEDg | Description generation | batch_69b062a0f74c8190943739f4cda3c614 |
completed | March 10, 2026, 6:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0631e65e88190bd425222c60637db |
completed | March 10, 2026, 6:29 p.m. |
Created at: March 8, 2026, 2:55 p.m.