Triple
T22135923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mathilde |
E547027
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Matilde |
—
|
NE NERFINISHED |
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: Matilde | Statement: [Mathilde, hasVariant, Matilde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matilde Context triple: [Mathilde, hasVariant, Matilde]
-
A.
Matilde
chosen
Matilde is a feminine given name of Spanish and Portuguese origin, related to the name Matilda and historically borne by various notable women.
-
B.
Mathilda
Mathilda is the young girl in the film "Léon: The Professional" who becomes the protégé of a solitary hitman after her family is murdered.
-
C.
Mathilda
Mathilda is the middle name of Elivera Mathilda Carlson Doud, the wife of former U.S. President Dwight D. Eisenhower.
-
D.
Mathilde Ismalun
Mathilde Ismalun is a central character in Pearl S. Buck’s novel "The Mother," depicted as a rural Chinese woman whose life reflects the hardships, resilience, and social constraints of peasant motherhood.
-
E.
Luisa
Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e3a95d88190a3bd80d9471976c3 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129b9ee54819081141c4f28e1211a |
completed | April 28, 2026, 9:42 p.m. |
Created at: April 16, 2026, 8:32 p.m.