Triple
T11350199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bertrand-Sévère Mascarou-Laurence |
E268820
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Bertrand-Sévère
Bertrand-Sévère is the given name of Bertrand-Sévère Mascarou-Laurence, a French individual identifiable primarily through this full personal name.
|
E920280
|
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: Bertrand-Sévère | Statement: [Bertrand-Sévère Mascarou-Laurence, givenName, Bertrand-Sévère]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bertrand-Sévère Context triple: [Bertrand-Sévère Mascarou-Laurence, givenName, Bertrand-Sévère]
-
A.
Bertrand-Jean
Bertrand-Jean is the birth name of the French Symbolist painter and printmaker better known as Odilon Redon.
-
B.
Bertrand
Bertrand is a masculine given name most famously associated with the British philosopher, logician, and Nobel laureate Bertrand Russell.
-
C.
Ambroise
Ambroise is a modern digital revival of classic Didone-style typefaces, characterized by high contrast between thick and thin strokes and elegant, refined letterforms.
-
D.
Giraud
Giraud is a French surname borne by various notable figures in French history and culture.
-
E.
Lebrun
Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
- 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: Bertrand-Sévère Triple: [Bertrand-Sévère Mascarou-Laurence, givenName, Bertrand-Sévère]
Generated description
Bertrand-Sévère is the given name of Bertrand-Sévère Mascarou-Laurence, a French individual identifiable primarily through this full personal name.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bertrand-Sévère Target entity description: Bertrand-Sévère is the given name of Bertrand-Sévère Mascarou-Laurence, a French individual identifiable primarily through this full personal name.
-
A.
Bertrand-Jean
Bertrand-Jean is the birth name of the French Symbolist painter and printmaker better known as Odilon Redon.
-
B.
Bertrand
Bertrand is a masculine given name most famously associated with the British philosopher, logician, and Nobel laureate Bertrand Russell.
-
C.
Ambroise
Ambroise is a modern digital revival of classic Didone-style typefaces, characterized by high contrast between thick and thin strokes and elegant, refined letterforms.
-
D.
Giraud
Giraud is a French surname borne by various notable figures in French history and culture.
-
E.
Lebrun
Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea23391c819089e8f9725cb3a0ff |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5439a7ee481908d244f79041b3af6 |
completed | April 19, 2026, 9:05 p.m. |
| NEDg | Description generation | batch_69e5474b77948190b2c45831871383e8 |
completed | April 19, 2026, 9:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e54eeba4a88190af128a99c277853a |
completed | April 19, 2026, 9:53 p.m. |
Created at: April 8, 2026, 9:33 p.m.