Triple
T22202225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | parallel distributed processing |
E548708
|
entity |
| Predicate | hasVolume |
P1567
|
FINISHED |
| Object | Parallel Distributed Processing, Volume 1: Foundations |
—
|
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: Parallel Distributed Processing, Volume 1: Foundations | Statement: [parallel distributed processing, hasVolume, Parallel Distributed Processing, Volume 1: Foundations]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parallel Distributed Processing, Volume 1: Foundations Context triple: [parallel distributed processing, hasVolume, Parallel Distributed Processing, Volume 1: Foundations]
-
A.
Parallel Distributed Processing: Explorations in the Microstructure of Cognition, Volume 1
chosen
Parallel Distributed Processing: Explorations in the Microstructure of Cognition, Volume 1 is a foundational book in cognitive science and artificial intelligence that introduced influential connectionist models of mental processes using neural network frameworks.
-
B.
Parallel Distributed Processing: Explorations in the Microstructure of Cognition, Volume 2
Parallel Distributed Processing: Explorations in the Microstructure of Cognition, Volume 2 is a foundational scholarly book that further develops the connectionist framework for understanding cognition through neural network models, complementing the theoretical groundwork laid in Volume 1.
-
C.
Elements of Distributed Algorithms
Elements of Distributed Algorithms is a foundational textbook that systematically presents the principles, models, and key techniques used in the design and analysis of distributed algorithms.
-
D.
parallel distributed processing
Parallel distributed processing is a cognitive and computational framework in which mental processes emerge from the simultaneous activity of many simple, interconnected processing units, often implemented as neural networks.
-
E.
Distributed Algorithms
Distributed Algorithms is a foundational textbook by Nancy Lynch that rigorously presents the theory, models, and key techniques for designing and analyzing algorithms in distributed systems.
- 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_69e11e3ecc7c8190b5f94cd8f42e9d37 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b24c6fc81909e6ae62564846bd1 |
completed | April 28, 2026, 9:48 p.m. |
Created at: April 16, 2026, 8:36 p.m.