Triple
T3043276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Tarjan |
E83180
|
entity |
| Predicate | notableConcept |
P201
|
FINISHED |
| Object |
Tarjan's strongly connected components algorithm
Tarjan's strongly connected components algorithm is a classic linear-time graph algorithm that efficiently identifies all strongly connected components in a directed graph using depth-first search and low-link values.
|
E323102
|
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: Tarjan's strongly connected components algorithm | Statement: [Robert Tarjan, notableConcept, Tarjan's strongly connected components algorithm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarjan's strongly connected components algorithm Context triple: [Robert Tarjan, notableConcept, Tarjan's strongly connected components algorithm]
-
A.
union–find data structure
The union–find data structure is an efficient algorithmic structure that maintains disjoint sets and supports fast union and find operations, widely used in graph algorithms such as Kruskal’s minimum spanning tree.
-
B.
Marzullo's algorithm
Marzullo's algorithm is a method for selecting the most likely correct time interval from multiple, possibly conflicting time sources, commonly used in clock synchronization systems.
-
C.
Huet unification algorithm
The Huet unification algorithm is a higher-order unification procedure introduced by Gérard Huet that generalizes first-order unification to handle lambda calculus terms and plays a key role in type theory and automated theorem proving.
-
D.
Robert Tarjan
Robert Tarjan is an American computer scientist renowned for his pioneering work in algorithms and data structures, including the development of efficient graph algorithms and the union–find data structure.
-
E.
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.
- 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: Tarjan's strongly connected components algorithm Triple: [Robert Tarjan, notableConcept, Tarjan's strongly connected components algorithm]
Generated description
Tarjan's strongly connected components algorithm is a classic linear-time graph algorithm that efficiently identifies all strongly connected components in a directed graph using depth-first search and low-link values.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tarjan's strongly connected components algorithm Target entity description: Tarjan's strongly connected components algorithm is a classic linear-time graph algorithm that efficiently identifies all strongly connected components in a directed graph using depth-first search and low-link values.
-
A.
union–find data structure
The union–find data structure is an efficient algorithmic structure that maintains disjoint sets and supports fast union and find operations, widely used in graph algorithms such as Kruskal’s minimum spanning tree.
-
B.
Marzullo's algorithm
Marzullo's algorithm is a method for selecting the most likely correct time interval from multiple, possibly conflicting time sources, commonly used in clock synchronization systems.
-
C.
Huet unification algorithm
The Huet unification algorithm is a higher-order unification procedure introduced by Gérard Huet that generalizes first-order unification to handle lambda calculus terms and plays a key role in type theory and automated theorem proving.
-
D.
Robert Tarjan
Robert Tarjan is an American computer scientist renowned for his pioneering work in algorithms and data structures, including the development of efficient graph algorithms and the union–find data structure.
-
E.
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.
- 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_69ad8b2298908190a7cb4e9bdbf064d0 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9b5ec5988190b8b6c95c743c6d1e |
completed | March 8, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1eef43da8819094cd438c93c64c86 |
completed | March 11, 2026, 10:38 p.m. |
| NEDg | Description generation | batch_69b1f071a53481908fb1d7b9803c65a6 |
completed | March 11, 2026, 10:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1f16489e881909368470bb53a900c |
completed | March 11, 2026, 10:49 p.m. |
Created at: March 8, 2026, 3:01 p.m.