Triple
T1374950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marie Thérèse of France |
E29199
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | la Petite Madame |
E158992
|
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: la Petite Madame | Statement: [Marie Thérèse of France, alsoKnownAs, la Petite Madame]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: la Petite Madame Context triple: [Marie Thérèse of France, alsoKnownAs, la Petite Madame]
-
A.
Madame Mère
Madame Mère was the honorific title of Letizia Ramolino, the mother of Napoleon Bonaparte and matriarch of the Bonaparte family.
-
B.
Madame Royale
chosen
Madame Royale is the title historically given to the eldest surviving daughter of the King of France, most notably borne by Marie Thérèse of France, the daughter of Louis XVI and Marie Antoinette.
-
C.
Clémentine
Clémentine is a feminine given name of French origin, commonly used in Francophone countries and beyond.
-
D.
Pierrette
Pierrette is a French feminine given name, traditionally considered the female form of Pierre.
-
E.
Margeride
Margeride is a mountainous and sparsely populated region in south-central France known for its granite plateaus, forests, and traditional rural landscapes.
- 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_69a498d883a48190bfdca525296ef7ee |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c2f7aeb08190b52ef1058c18327e |
completed | March 1, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acde1a576c81909379c2c0e350cd12 |
completed | March 8, 2026, 2:25 a.m. |
Created at: March 1, 2026, 7:59 p.m.