Triple
T2727334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferdinand |
E60224
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Fernand
Fernand is a given name, primarily used in French and other Romance-language contexts, that corresponds to the name Ferdinand.
|
E338517
|
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: Fernand | Statement: [Ferdinand, hasVariant, Fernand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fernand Context triple: [Ferdinand, hasVariant, Fernand]
-
A.
Pierre
Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
-
B.
René
René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
-
C.
Firmin
Firmin is a French given name notably borne by Firmin Didot, a renowned printer, typefounder, and member of the influential Didot family in the history of typography.
-
D.
Léon Marchal
Léon Marchal was a French diplomat who served as Secretary General of the Council of Europe during the early years of European postwar integration.
-
E.
Étienne
Étienne is the given first name of the French Symbolist poet Stéphane Mallarmé.
- 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: Fernand Triple: [Ferdinand, hasVariant, Fernand]
Generated description
Fernand is a given name, primarily used in French and other Romance-language contexts, that corresponds to the name Ferdinand.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fernand Target entity description: Fernand is a given name, primarily used in French and other Romance-language contexts, that corresponds to the name Ferdinand.
-
A.
Pierre
Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
-
B.
René
René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
-
C.
Firmin
Firmin is a French given name notably borne by Firmin Didot, a renowned printer, typefounder, and member of the influential Didot family in the history of typography.
-
D.
Léon Marchal
Léon Marchal was a French diplomat who served as Secretary General of the Council of Europe during the early years of European postwar integration.
-
E.
Étienne
Étienne is the given first name of the French Symbolist poet Stéphane Mallarmé.
- 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_69ab4b75cd908190b691ef0d1801acda |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdacffa6481909df37335e8fdd595 |
completed | March 7, 2026, 7:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b261c141f88190aaf340c92499b88b |
completed | March 12, 2026, 6:48 a.m. |
| NEDg | Description generation | batch_69b264c2b3e88190bdfb33f12c318c70 |
completed | March 12, 2026, 7:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2689419808190adb9b69bf3185daf |
completed | March 12, 2026, 7:17 a.m. |
Created at: March 6, 2026, 9:56 p.m.