Triple
T18787648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patrick Henry Winston |
E459418
|
entity |
| Predicate | hasWritten |
P2831
|
FINISHED |
| Object | Artificial Intelligence (Addison-Wesley) |
—
|
NE NERFINISHED |
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: Artificial Intelligence (Addison-Wesley) | Statement: [Patrick Henry Winston, hasWritten, Artificial Intelligence (Addison-Wesley)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Artificial Intelligence (Addison-Wesley) Context triple: [Patrick Henry Winston, hasWritten, Artificial Intelligence (Addison-Wesley)]
-
A.
Artificial Intelligence (textbook)
chosen
Artificial Intelligence is a widely used foundational textbook by Patrick Henry Winston that introduces core concepts, methods, and applications of AI in a clear, structured manner for students and practitioners.
-
B.
Artificial Intelligence: A Modern Approach to Intelligent Systems (various editions of his AI textbook)
Artificial Intelligence: A Modern Approach to Intelligent Systems is a widely used university-level textbook that systematically introduces the theory, methods, and applications of modern artificial intelligence.
-
C.
The Master Algorithm
The Master Algorithm is a popular science book by Pedro Domingos that explores the unification of different machine learning paradigms into a single, overarching "master" learning algorithm.
-
D.
Probabilistic Reasoning in Intelligent Systems
Probabilistic Reasoning in Intelligent Systems is a foundational book by Judea Pearl that introduced Bayesian networks and revolutionized the use of probability theory for reasoning and decision-making in artificial intelligence.
-
E.
artificial intelligence
Artificial intelligence is a field of computer science focused on creating systems that can perform tasks typically requiring human intelligence, such as learning, reasoning, and problem-solving.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e59783ea4c8190b1b04d08f65b7d19 |
completed | April 20, 2026, 3:03 a.m. |
Created at: April 10, 2026, 11:53 a.m.