Triple
T10575965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louise-Honorine Crozat |
E249612
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Louise-Honorine |
E361609
|
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: Louise-Honorine | Statement: [Louise-Honorine Crozat, givenName, Louise-Honorine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louise-Honorine Context triple: [Louise-Honorine Crozat, givenName, Louise-Honorine]
-
A.
Honorine
chosen
Honorine is a feminine given name of French origin, used both as a standalone first name and as part of compound names.
-
B.
Louise-Marie
Louise-Marie is a French royal given name notably borne by Princess Louise-Marie of Orléans, a 19th-century Belgian queen consort.
-
C.
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.
-
D.
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.
-
E.
Marie Émilie
Marie Émilie is a French noblewoman best known as the morganatic wife of Louis, Grand Dauphin of France, during the late 17th and early 18th centuries.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5274b100c8190b477ef4cb745c269 |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b65313481909328bd9f7f39bf53 |
completed | April 10, 2026, 7:11 p.m. |
Created at: April 6, 2026, 12:38 p.m.