Triple
T20836677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nancy Lynch |
E512975
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Distributed Algorithms |
—
|
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: Distributed Algorithms | Statement: [Nancy Lynch, notableWork, Distributed Algorithms]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Distributed Algorithms Context triple: [Nancy Lynch, notableWork, Distributed Algorithms]
-
A.
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.
-
B.
Distributed Systems
Distributed Systems is a foundational computer science textbook that explains the principles, architectures, and algorithms used to design and implement distributed computing environments.
-
C.
"Reaching Agreement in the Presence of Faults"
"Reaching Agreement in the Presence of Faults" is a seminal paper in distributed computing that introduced the Byzantine Generals Problem and laid the foundations for understanding consensus in unreliable, fault-prone systems.
-
D.
EATCS International Symposium on Distributed Computing
The EATCS International Symposium on Distributed Computing is a leading annual academic conference that focuses on the theory, design, analysis, and implementation of distributed systems and algorithms.
-
E.
Fault-Tolerant Parallel Computation
Fault-Tolerant Parallel Computation is a scholarly work in computer science that studies how to design and analyze parallel algorithms and systems that continue to operate correctly despite hardware or process failures.
- 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: Distributed Algorithms Target entity description: 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.
-
A.
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.
-
B.
Distributed Systems
Distributed Systems is a foundational computer science textbook that explains the principles, architectures, and algorithms used to design and implement distributed computing environments.
-
C.
"Reaching Agreement in the Presence of Faults"
"Reaching Agreement in the Presence of Faults" is a seminal paper in distributed computing that introduced the Byzantine Generals Problem and laid the foundations for understanding consensus in unreliable, fault-prone systems.
-
D.
EATCS International Symposium on Distributed Computing
The EATCS International Symposium on Distributed Computing is a leading annual academic conference that focuses on the theory, design, analysis, and implementation of distributed systems and algorithms.
-
E.
Fault-Tolerant Parallel Computation
Fault-Tolerant Parallel Computation is a scholarly work in computer science that studies how to design and analyze parallel algorithms and systems that continue to operate correctly despite hardware or process failures.
- 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_69e0b4cf62a88190bbf92351e9e57259 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c326daec8190bd4caa41a4b38833 |
completed | April 21, 2026, 12:21 a.m. |
Created at: April 16, 2026, 12:42 p.m.