Triple
T19854024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elisenda de Montcada |
E477083
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Elisenda |
—
|
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: Elisenda | Statement: [Elisenda de Montcada, givenName, Elisenda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elisenda Context triple: [Elisenda de Montcada, givenName, Elisenda]
-
A.
Elisenda de Montcada
chosen
Elisenda de Montcada was a 14th-century Catalan noblewoman who became Queen consort of Aragon through her marriage to King James II.
-
B.
María de Montserrat
María de Montserrat is the given name of Montserrat Caballé, the renowned Spanish operatic soprano celebrated for her bel canto technique and powerful, expressive voice.
-
C.
Alfonsa
Alfonsa is a feminine given name, primarily used in Romance-language cultures, derived from the masculine name Alfonso.
-
D.
Leocadia
Leocadia is a painting by Francisco Goya depicting a somberly dressed woman believed to be his companion, Leocadia Weiss, mourning beside a tomb.
-
E.
Ignasi
Ignasi is a masculine given name of Catalan origin, commonly used in Spanish-speaking regions.
- 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6586aa1dc8190b6cfe051a57e338b |
completed | April 20, 2026, 4:46 p.m. |
Created at: April 10, 2026, 1:51 p.m.