Triple
T10155532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Régine Chassagne |
E232766
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Régine |
E662578
|
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: Régine | Statement: [Régine Chassagne, givenName, Régine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Régine Context triple: [Régine Chassagne, givenName, Régine]
-
A.
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.
-
B.
Françoise
Françoise is a central character in Éric Rohmer’s film "My Night at Maud’s," representing the devout, idealized young woman with whom the protagonist becomes romantically involved.
-
C.
Regine
chosen
Regine is a feminine given name of Latin origin, commonly used in various European countries and associated with figures such as Regine Olsen, the onetime fiancée of philosopher Søren Kierkegaard.
-
D.
Renée
Renée is a feminine given name of French origin, commonly used in French-speaking countries and beyond.
-
E.
Valérie
Valérie is a French feminine given name commonly used in Francophone countries.
- 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_69ca84885e48819088a31b127cf44904 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec3a5e7c819098b2f9ccbde7cf94 |
completed | April 2, 2026, 4:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e65b9d4c8190b1f520ed08256372 |
completed | April 5, 2026, 10:46 p.m. |
Created at: March 30, 2026, 9:09 p.m.