Triple
T13357639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard I of Beaumont |
E318734
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Lucie de l’Aigle |
E323753
|
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: Lucie de l’Aigle | Statement: [Richard I of Beaumont, relative, Lucie de l’Aigle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucie de l’Aigle Context triple: [Richard I of Beaumont, relative, Lucie de l’Aigle]
-
A.
Lucie de l’Aigle
chosen
Lucie de l’Aigle was a medieval noblewoman from the Norman house of L’Aigle, known primarily through her familial ties to the Anglo-Norman aristocracy.
-
B.
Lucie de Mirecourt
Lucie de Mirecourt is a character in the 1935 French film "Princesse Tam-Tam," which stars Josephine Baker.
-
C.
Louisette Hautecoeur
Louisette Hautecoeur was a French film editor known for her work on classic European cinema, including Luis Buñuel’s "Belle de Jour."
-
D.
Mathilde de Garlande
Mathilde de Garlande was a medieval French noblewoman best known for founding the religious community that later became the influential Jansenist abbey of Port-Royal.
-
E.
Clémence Desmarets
Clémence Desmarets is a central fictional character in Honoré de Balzac’s novel "Ferragus," known for her beauty, virtue, and tragic entanglement in a web of Parisian intrigue and secrecy.
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69da62887e588190bd7241c720a112a2 |
completed | April 11, 2026, 3:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c6f78e088190a2d241042cfe615f |
completed | May 3, 2026, 10:06 p.m. |
Created at: April 9, 2026, 9:32 p.m.