Triple
T2269601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gregory |
E50625
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Grégoire
Grégoire is the French form of the given name Gregory, commonly used in French-speaking countries.
|
E251632
|
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: Grégoire | Statement: [Gregory, hasVariant, Grégoire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grégoire Context triple: [Gregory, hasVariant, Grégoire]
-
A.
Giraud
Giraud is a French surname borne by various notable figures in French history and culture.
-
B.
Guillaume
Guillaume is the French form of the given name William, commonly used in French-speaking countries.
-
C.
Hugues
Hugues is a French given name, equivalent to the English name Hugh, historically borne by various nobles, clerics, and notable figures in French-speaking regions.
-
D.
Clément
Clément is a French given name, equivalent to Clement in English, commonly used for males.
-
E.
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.
- 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: Grégoire Triple: [Gregory, hasVariant, Grégoire]
Generated description
Grégoire is the French form of the given name Gregory, commonly used in French-speaking countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grégoire Target entity description: Grégoire is the French form of the given name Gregory, commonly used in French-speaking countries.
-
A.
Giraud
Giraud is a French surname borne by various notable figures in French history and culture.
-
B.
Guillaume
Guillaume is the French form of the given name William, commonly used in French-speaking countries.
-
C.
Hugues
Hugues is a French given name, equivalent to the English name Hugh, historically borne by various nobles, clerics, and notable figures in French-speaking regions.
-
D.
Clément
Clément is a French given name, equivalent to Clement in English, commonly used for males.
-
E.
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.
- 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_69a88b05910c8190a9a2b1ff230c85f9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc1bd376c8190a43decde599f62e6 |
completed | March 7, 2026, 6:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71d97a108190a26ffd20fac91a7e |
completed | March 9, 2026, 7:08 a.m. |
| NEDg | Description generation | batch_69ae73a4bdd08190bb9fff64ffdbeed6 |
completed | March 9, 2026, 7:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae776fdfb48190ae8731002c537458 |
completed | March 9, 2026, 7:32 a.m. |
Created at: March 4, 2026, 7:48 p.m.