Triple
T14773379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert W. Floyd |
E347190
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Floyd–Warshall algorithm
The Floyd–Warshall algorithm is a classic dynamic programming method in computer science for efficiently computing shortest paths between all pairs of vertices in a weighted graph, even when negative edge weights are present.
|
E1119493
|
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: Floyd–Warshall algorithm | Statement: [Robert W. Floyd, notableWork, Floyd–Warshall algorithm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Floyd–Warshall algorithm Context triple: [Robert W. Floyd, notableWork, Floyd–Warshall algorithm]
-
A.
Bellman–Ford algorithm
The Bellman–Ford algorithm is a graph shortest-path algorithm that can handle negative edge weights and detect negative cycles, often used in routing and network optimization.
-
B.
Dijkstra's shortest path algorithm
Dijkstra's shortest path algorithm is a classic graph algorithm that efficiently computes the minimum-cost paths from a single source vertex to all other vertices in a weighted graph with non-negative edge weights.
-
C.
Dijkstra
Dijkstra is a renowned Dutch computer scientist best known for his pioneering work in algorithms, including Dijkstra's shortest path algorithm, and for his influential contributions to programming methodology and software engineering.
-
D.
Kosaraju's algorithm
Kosaraju's algorithm is a graph traversal method used to efficiently find all strongly connected components in a directed graph.
-
E.
Kruskal’s minimum spanning tree algorithm
Kruskal’s minimum spanning tree algorithm is a classic greedy graph algorithm that builds a minimum spanning tree by repeatedly adding the smallest-weight edge that does not create a cycle, typically implemented efficiently using a union–find data structure.
- 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: Floyd–Warshall algorithm Triple: [Robert W. Floyd, notableWork, Floyd–Warshall algorithm]
Generated description
The Floyd–Warshall algorithm is a classic dynamic programming method in computer science for efficiently computing shortest paths between all pairs of vertices in a weighted graph, even when negative edge weights are present.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Floyd–Warshall algorithm Target entity description: The Floyd–Warshall algorithm is a classic dynamic programming method in computer science for efficiently computing shortest paths between all pairs of vertices in a weighted graph, even when negative edge weights are present.
-
A.
Bellman–Ford algorithm
The Bellman–Ford algorithm is a graph shortest-path algorithm that can handle negative edge weights and detect negative cycles, often used in routing and network optimization.
-
B.
Dijkstra's shortest path algorithm
Dijkstra's shortest path algorithm is a classic graph algorithm that efficiently computes the minimum-cost paths from a single source vertex to all other vertices in a weighted graph with non-negative edge weights.
-
C.
Dijkstra
Dijkstra is a renowned Dutch computer scientist best known for his pioneering work in algorithms, including Dijkstra's shortest path algorithm, and for his influential contributions to programming methodology and software engineering.
-
D.
Kosaraju's algorithm
Kosaraju's algorithm is a graph traversal method used to efficiently find all strongly connected components in a directed graph.
-
E.
Kruskal’s minimum spanning tree algorithm
Kruskal’s minimum spanning tree algorithm is a classic greedy graph algorithm that builds a minimum spanning tree by repeatedly adding the smallest-weight edge that does not create a cycle, typically implemented efficiently using a union–find data structure.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec81485e08190be35baafcf22b6f2 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cfd26fc81909fba39c8705437ed |
completed | May 8, 2026, 4:19 p.m. |
| NEDg | Description generation | batch_69fe17fc37ec8190b2e9c786a5e7843e |
completed | May 8, 2026, 5:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe18786294819080ce5ee0d8af00c9 |
completed | May 8, 2026, 5:08 p.m. |
Created at: April 10, 2026, 1:31 a.m.