Triple
T2852001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonhard |
E63113
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Léonard
Léonard is a given name and surname used in French-speaking contexts, corresponding to the name Leonhard or Leonard.
|
E342106
|
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: Léonard | Statement: [Leonhard, hasVariant, Léonard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Léonard Context triple: [Leonhard, hasVariant, Léonard]
-
A.
René
René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
-
B.
Pierre
Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
-
C.
Étienne
Étienne is the given first name of the French Symbolist poet Stéphane Mallarmé.
-
D.
Claude Lancelot
Claude Lancelot was a 17th-century French grammarian and educator associated with the Port-Royal school, known for his influential works on grammar and language pedagogy.
-
E.
Jacques
Jacques is the French form of the given name James, commonly used in French-speaking countries.
- 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: Léonard Triple: [Leonhard, hasVariant, Léonard]
Generated description
Léonard is a given name and surname used in French-speaking contexts, corresponding to the name Leonhard or Leonard.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Léonard Target entity description: Léonard is a given name and surname used in French-speaking contexts, corresponding to the name Leonhard or Leonard.
-
A.
René
René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
-
B.
Pierre
Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
-
C.
Étienne
Étienne is the given first name of the French Symbolist poet Stéphane Mallarmé.
-
D.
Claude Lancelot
Claude Lancelot was a 17th-century French grammarian and educator associated with the Port-Royal school, known for his influential works on grammar and language pedagogy.
-
E.
Jacques
Jacques is the French form of the given name James, commonly used in French-speaking countries.
- 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_69ab4c407c408190857d25e027155ce9 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf5ca2648190bd32c6ec4b0dd3b6 |
completed | March 7, 2026, 8:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28dc130a48190a4bf2259c206cf88 |
completed | March 12, 2026, 9:56 a.m. |
| NEDg | Description generation | batch_69b28f6d8a948190b9aac1b90de472d6 |
completed | March 12, 2026, 10:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2c08b196881908e72596d54ab8873 |
completed | March 12, 2026, 1:32 p.m. |
Created at: March 6, 2026, 10:02 p.m.