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.