Triple
T12589958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aurélie Dupont |
E300576
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Aurélie |
E300576
|
NE FINISHED |
How this triple was built (2 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: Aurélie | Statement: [Aurélie Dupont, givenName, Aurélie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aurélie Context triple: [Aurélie Dupont, givenName, Aurélie]
-
A.
Léa
Léa is a French feminine given name commonly used in Francophone countries.
-
B.
Valérie
Valérie is a French feminine given name commonly used in Francophone countries.
-
C.
Aurélie Dupont
chosen
Aurélie Dupont is a renowned French ballerina and former étoile of the Paris Opera Ballet who later became the company’s artistic director.
-
D.
Clémence
Clémence is the given name of Jeanne Clémence Weil, best known as the mother of French writer Marcel Proust.
-
E.
Françoise
Françoise is the given name of Louise de La Vallière, a 17th-century French noblewoman best known as a mistress of King Louis XIV.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954bd5e8c8190a2f233b91682341f |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68ea99ac88190bc0220a18c58f755 |
completed | May 2, 2026, 11:54 p.m. |
Created at: April 9, 2026, 5:06 p.m.