Triple
T16690160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonor Ernestina von Daun |
E405572
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Leonor |
E875853
|
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: Leonor | Statement: [Leonor Ernestina von Daun, givenName, Leonor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leonor Context triple: [Leonor Ernestina von Daun, givenName, Leonor]
-
A.
Leonor
chosen
Leonor is the given name of Leonor Fini, a renowned Argentine-Italian surrealist painter and designer known for her fantastical, often erotic imagery and strong, unconventional female figures.
-
B.
Leonor de Guzmán
Leonor de Guzmán was a Spanish noblewoman of the 16th century, known for her connections to prominent aristocratic families in the Kingdom of Castile.
-
C.
Enriqueta
Enriqueta is a feminine given name of Spanish origin, often associated with historical and cultural figures in Spanish-speaking countries.
-
D.
Princess of Navarre
Princess of Navarre was the French royal title held by Catherine de Bourbon, a prominent Huguenot noblewoman and sister of King Henry IV of France.
-
E.
Leonor Varela
Leonor Varela is a Chilean actress and model best known internationally for her roles in films such as "Blade II" and the TV miniseries "Cleopatra."
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ea8cabc8190ba321503399960da |
completed | April 18, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091966fbc81908cd1db230ddbb82b |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:19 a.m.