Triple
T1963531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benedict |
E42638
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Benoît
Benoît is the French form of the given name Benedict, commonly used in French-speaking countries.
|
E289610
|
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: Benoît | Statement: [Benedict, hasVariant, Benoît]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benoît Context triple: [Benedict, hasVariant, Benoît]
-
A.
Clément
Clément is a French given name, equivalent to Clement in English, commonly used for males.
-
B.
Stéphane
Stéphane is a French masculine given name, equivalent to Stephen in English, commonly used in Francophone countries.
-
C.
Jérôme
Jérôme is a masculine given name of French origin, famously borne by Jérôme Bonaparte, the youngest brother of Napoleon I.
-
D.
Thibault
Thibault is a surname most notably associated with Mike Thibault, a prominent American basketball coach in the WNBA.
-
E.
Pierre
Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
- 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: Benoît Triple: [Benedict, hasVariant, Benoît]
Generated description
Benoît is the French form of the given name Benedict, commonly used in French-speaking countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Benoît Target entity description: Benoît is the French form of the given name Benedict, commonly used in French-speaking countries.
-
A.
Clément
Clément is a French given name, equivalent to Clement in English, commonly used for males.
-
B.
Stéphane
Stéphane is a French masculine given name, equivalent to Stephen in English, commonly used in Francophone countries.
-
C.
Jérôme
Jérôme is a masculine given name of French origin, famously borne by Jérôme Bonaparte, the youngest brother of Napoleon I.
-
D.
Thibault
Thibault is a surname most notably associated with Mike Thibault, a prominent American basketball coach in the WNBA.
-
E.
Pierre
Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
- 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_69a88711151c8190940b2572095059d7 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3ac31a08190abaecac8badc52c7 |
completed | March 7, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afaf1efa3881909018b46a4b92b0a8 |
completed | March 10, 2026, 5:41 a.m. |
| NEDg | Description generation | batch_69afb06d3234819095f481228ff32a46 |
completed | March 10, 2026, 5:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afb0d54cc481908007e2fb9bfed731 |
completed | March 10, 2026, 5:49 a.m. |
Created at: March 4, 2026, 7:36 p.m.