Triple
T14288547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nathalie Cresson |
E354244
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Nathalie
Nathalie is a feminine given name of French origin commonly used in many European and French-speaking countries.
|
E1127849
|
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: Nathalie | Statement: [Nathalie Cresson, givenName, Nathalie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nathalie Context triple: [Nathalie Cresson, givenName, Nathalie]
-
A.
Léa
Léa is a French feminine given name commonly used in Francophone countries.
-
B.
Mélanie
Mélanie is a feminine given name of French origin commonly used in French-speaking countries.
-
C.
Stéphanie
Stéphanie is a Monegasque princess, singer, and fashion designer, best known as the youngest child of Prince Rainier III and Grace Kelly.
-
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.
Estelle
Estelle is the given first name of American actress Louise Fletcher, best known for her Academy Award–winning role as Nurse Ratched in "One Flew Over the Cuckoo's Nest."
- 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: Nathalie Triple: [Nathalie Cresson, givenName, Nathalie]
Generated description
Nathalie is a feminine given name of French origin commonly used in many European and French-speaking countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nathalie Target entity description: Nathalie is a feminine given name of French origin commonly used in many European and French-speaking countries.
-
A.
Léa
Léa is a French feminine given name commonly used in Francophone countries.
-
B.
Mélanie
Mélanie is a feminine given name of French origin commonly used in French-speaking countries.
-
C.
Stéphanie
Stéphanie is a Monegasque princess, singer, and fashion designer, best known as the youngest child of Prince Rainier III and Grace Kelly.
-
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.
Estelle
Estelle is the given first name of American actress Louise Fletcher, best known for her Academy Award–winning role as Nurse Ratched in "One Flew Over the Cuckoo's Nest."
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de698023288190b1d705235c2b2ca3 |
completed | April 14, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e7563188190b50c4413cd5dde37 |
completed | May 9, 2026, 12:23 a.m. |
| NEDg | Description generation | batch_69fe8005a12881909d701188ab0a95b7 |
completed | May 9, 2026, 12:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe8052b5fc8190841d65a736dadbce |
completed | May 9, 2026, 12:31 a.m. |
Created at: April 10, 2026, 1:11 a.m.