Triple
T9565244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amanda |
E230773
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Amandine
Amandine is a feminine given name, primarily used in French-speaking contexts, that is closely related to and derived from the name Amanda.
|
E807875
|
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: Amandine | Statement: [Amanda, hasVariant, Amandine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amandine Context triple: [Amanda, hasVariant, Amandine]
-
A.
Armande
Armande is a French given name historically associated with figures in the performing arts, notably in 17th-century France.
-
B.
Aline
Aline is a feminine given name of French origin, commonly used in various cultures and languages.
-
C.
Tiphaine
Tiphaine is a French given name, notably borne by Tiphaine Auzière, the daughter of Brigitte Macron.
-
D.
Laetitia
Laetitia is a feminine given name of Latin origin, historically borne by figures such as the English poet and essayist Anna Laetitia Barbauld.
-
E.
Anastasie
Anastasie is the given name of Anastasie de Lafayette, a French noblewoman associated with the influential Lafayette family.
- 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: Amandine Triple: [Amanda, hasVariant, Amandine]
Generated description
Amandine is a feminine given name, primarily used in French-speaking contexts, that is closely related to and derived from the name Amanda.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amandine Target entity description: Amandine is a feminine given name, primarily used in French-speaking contexts, that is closely related to and derived from the name Amanda.
-
A.
Armande
Armande is a French given name historically associated with figures in the performing arts, notably in 17th-century France.
-
B.
Aline
Aline is a feminine given name of French origin, commonly used in various cultures and languages.
-
C.
Tiphaine
Tiphaine is a French given name, notably borne by Tiphaine Auzière, the daughter of Brigitte Macron.
-
D.
Laetitia
Laetitia is a feminine given name of Latin origin, historically borne by figures such as the English poet and essayist Anna Laetitia Barbauld.
-
E.
Anastasie
Anastasie is the given name of Anastasie de Lafayette, a French noblewoman associated with the influential Lafayette family.
- 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_69ca847f22188190a56e4a97625bef22 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd996a01b081908e2782f41520f73d |
completed | April 1, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d152abb0788190ab2e204d9a082ccf |
completed | April 4, 2026, 6:04 p.m. |
| NEDg | Description generation | batch_69d15565623c81908112183b65464553 |
completed | April 4, 2026, 6:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1560bbe3481908c98d74d21b33e63 |
completed | April 4, 2026, 6:18 p.m. |
Created at: March 30, 2026, 8:04 p.m.