Triple
T21195152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georges d’Anthès |
E522307
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
d’Anthès
d’Anthès is the French noble family name most famously borne by Georges-Charles de Heeckeren d’Anthès, known for his fatal duel with the Russian poet Alexander Pushkin.
|
E1472404
|
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: d’Anthès | Statement: [Georges d’Anthès, familyName, d’Anthès]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: d’Anthès Context triple: [Georges d’Anthès, familyName, d’Anthès]
-
A.
Fabre d’Églantine
Fabre d’Églantine was a French actor, playwright, and revolutionary politician best known for helping to create and name the months of the French Republican Calendar during the French Revolution.
-
B.
Gaspard
Gaspard is a French masculine given name historically borne by notable figures such as nobles, military leaders, and artists.
-
C.
Brisson
Brisson is a French surname borne by several notable figures, including politicians, scientists, and artists.
-
D.
Roussel
Roussel is a surname of French origin, often used as an alternative spelling of Russell.
-
E.
Charpentier
Charpentier is a French surname borne by various notable individuals across fields such as science, arts, and politics.
- 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: d’Anthès Triple: [Georges d’Anthès, familyName, d’Anthès]
Generated description
d’Anthès is the French noble family name most famously borne by Georges-Charles de Heeckeren d’Anthès, known for his fatal duel with the Russian poet Alexander Pushkin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: d’Anthès Target entity description: d’Anthès is the French noble family name most famously borne by Georges-Charles de Heeckeren d’Anthès, known for his fatal duel with the Russian poet Alexander Pushkin.
-
A.
Fabre d’Églantine
Fabre d’Églantine was a French actor, playwright, and revolutionary politician best known for helping to create and name the months of the French Republican Calendar during the French Revolution.
-
B.
Gaspard
Gaspard is a French masculine given name historically borne by notable figures such as nobles, military leaders, and artists.
-
C.
Brisson
Brisson is a French surname borne by several notable figures, including politicians, scientists, and artists.
-
D.
Roussel
Roussel is a surname of French origin, often used as an alternative spelling of Russell.
-
E.
Charpentier
Charpentier is a French surname borne by various notable individuals across fields such as science, arts, and politics.
- 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_69e0b51061388190aa03f19700d3ef04 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7333aa0fc81909b17eb6a26f389ec |
completed | April 21, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a097ec8db108190b2decdfe28a8af08 |
completed | May 17, 2026, 8:39 a.m. |
| NEDg | Description generation | batch_6a097ff28ed0819081cea66e9ea5eaa2 |
completed | May 17, 2026, 8:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0981477234819093bc90f3578ddccf |
completed | May 17, 2026, 8:50 a.m. |
Created at: April 16, 2026, 3:08 p.m.