Triple
T14663812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matilda |
E344311
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Mathilde |
E547027
|
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: Mathilde | Statement: [Matilda, hasVariant, Mathilde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mathilde Context triple: [Matilda, hasVariant, Mathilde]
-
A.
Mathilde
chosen
Mathilde is a feminine given name of Germanic origin, commonly used in various European countries.
-
B.
Mathilde
Mathilde was a medieval noblewoman, historically noted as a daughter of Bernard I, Duke of Saxony.
-
C.
Mathilde
"Mathilde" is a dramatic chanson by Belgian singer-songwriter Jacques Brel, known for its intense emotional narrative and theatrical style.
-
D.
Mathilde Deslonde
Mathilde Deslonde was a 19th-century Louisiana Creole woman best known as the wife of American politician and Confederate diplomat John Slidell.
-
E.
Mathilde Donnay
Mathilde Donnay is the determined young French woman at the heart of the novel and film "A Very Long Engagement," who doggedly investigates the fate of her fiancé missing from the trenches of World War I.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb54ae5ac81908cc69891f280e5f7 |
completed | April 14, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf07c7fa88190bb09f2f444d69786 |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:27 a.m.