Triple
T2169601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edmund M. Clarke |
E46990
|
entity |
| Predicate | notableStudent |
P4838
|
FINISHED |
| Object |
Joël Ouaknine
Joël Ouaknine is a computer scientist known for his work in formal verification, automata theory, and the analysis of infinite-state and probabilistic systems.
|
E280308
|
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: Joël Ouaknine | Statement: [Edmund M. Clarke, notableStudent, Joël Ouaknine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joël Ouaknine Context triple: [Edmund M. Clarke, notableStudent, Joël Ouaknine]
-
A.
Antoine Nahas
Antoine Nahas was a Lebanese architect best known for designing the National Museum of Beirut, a landmark institution of Lebanon’s cultural heritage.
-
B.
Gil Avérous
Gil Avérous is a French politician who serves as the mayor of the city of Châteauroux.
-
C.
Fabien Roussel
Fabien Roussel is a French politician who has served as the national secretary and presidential candidate of the French Communist Party.
-
D.
Jean-Claude Kalache
Jean-Claude Kalache is a cinematographer and lighting artist best known for his work on Pixar animated films such as Monsters, Inc.
-
E.
Laurent Durand
Laurent Durand was an 18th-century French publisher and bookseller best known for helping to produce the influential Enlightenment-era Encyclopédie.
- 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: Joël Ouaknine Triple: [Edmund M. Clarke, notableStudent, Joël Ouaknine]
Generated description
Joël Ouaknine is a computer scientist known for his work in formal verification, automata theory, and the analysis of infinite-state and probabilistic systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joël Ouaknine Target entity description: Joël Ouaknine is a computer scientist known for his work in formal verification, automata theory, and the analysis of infinite-state and probabilistic systems.
-
A.
Antoine Nahas
Antoine Nahas was a Lebanese architect best known for designing the National Museum of Beirut, a landmark institution of Lebanon’s cultural heritage.
-
B.
Gil Avérous
Gil Avérous is a French politician who serves as the mayor of the city of Châteauroux.
-
C.
Fabien Roussel
Fabien Roussel is a French politician who has served as the national secretary and presidential candidate of the French Communist Party.
-
D.
Jean-Claude Kalache
Jean-Claude Kalache is a cinematographer and lighting artist best known for his work on Pixar animated films such as Monsters, Inc.
-
E.
Laurent Durand
Laurent Durand was an 18th-century French publisher and bookseller best known for helping to produce the influential Enlightenment-era Encyclopédie.
- 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_69a88a184cbc8190877791f6552c2484 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbeaeb58881908ad34f7b253bac2a |
completed | March 7, 2026, 5:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af6533d4b88190ac722cd1ebfa3d8f |
completed | March 10, 2026, 12:26 a.m. |
| NEDg | Description generation | batch_69af66c7e25c819095c993553b428385 |
completed | March 10, 2026, 12:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af671900e081908e9b9e24aae651e2 |
completed | March 10, 2026, 12:34 a.m. |
Created at: March 4, 2026, 7:45 p.m.