Triple
T19755252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Gibson |
E474484
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Pattern Recognition |
—
|
NE NERFINISHED |
How this triple was built (3 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: Pattern Recognition | Statement: [William Gibson, notableWork, Pattern Recognition]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pattern Recognition Context triple: [William Gibson, notableWork, Pattern Recognition]
-
A.
Pattern Recognition
"Pattern Recognition" is a track by the American alternative rock band Sonic Youth, featured on their 2004 album *Sonic Nurse*.
-
B.
IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence
The IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence is a leading professional body that advances research and standards in computer vision, pattern recognition, and machine learning within the IEEE community.
-
C.
The Psychology of Computer Vision (edited volume)
The Psychology of Computer Vision is an influential edited volume, compiled by Patrick Henry Winston, that brings together foundational research exploring how principles of human perception and cognition can inform and advance computer vision.
-
D.
Machine Learning
Machine Learning is a peer-reviewed scientific journal that publishes research on all aspects of machine learning and related artificial intelligence methods.
-
E.
Gradient-based learning applied to document recognition
"Gradient-based learning applied to document recognition" is a seminal 1998 paper by Yann LeCun and colleagues that introduced and demonstrated the effectiveness of convolutional neural networks for tasks like handwritten digit recognition, helping to lay the foundations of modern deep learning.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pattern Recognition Target entity description: Pattern Recognition is a 2003 science fiction novel by William Gibson that follows a marketing consultant with an acute sensitivity to corporate logos as she investigates mysterious viral video clips in a near-future, globalized world.
-
A.
Pattern Recognition
"Pattern Recognition" is a track by the American alternative rock band Sonic Youth, featured on their 2004 album *Sonic Nurse*.
-
B.
IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence
The IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence is a leading professional body that advances research and standards in computer vision, pattern recognition, and machine learning within the IEEE community.
-
C.
The Psychology of Computer Vision (edited volume)
The Psychology of Computer Vision is an influential edited volume, compiled by Patrick Henry Winston, that brings together foundational research exploring how principles of human perception and cognition can inform and advance computer vision.
-
D.
Machine Learning
Machine Learning is a peer-reviewed scientific journal that publishes research on all aspects of machine learning and related artificial intelligence methods.
-
E.
Gradient-based learning applied to document recognition
"Gradient-based learning applied to document recognition" is a seminal 1998 paper by Yann LeCun and colleagues that introduced and demonstrated the effectiveness of convolutional neural networks for tasks like handwritten digit recognition, helping to lay the foundations of modern deep learning.
- F. None of above. chosen
Provenance (2 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6529dada081909c5b4d65247c6032 |
completed | April 20, 2026, 4:21 p.m. |
Created at: April 10, 2026, 1:48 p.m.