Triple
T9255796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aleida March |
E222439
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Aleida |
E768118
|
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: Aleida | Statement: [Aleida March, givenName, Aleida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aleida Context triple: [Aleida March, givenName, Aleida]
-
A.
Aleida
chosen
Aleida is a feminine given name of Spanish origin, notably borne by Aleida Guevara, the daughter of revolutionary leader Che Guevara.
-
B.
Corina
Corina is a feminine given name used in various cultures, often considered a variant of names like Corine or Corinna.
-
C.
Manuela
Manuela is the given name of Maria Manuela, a 16th-century Portuguese princess who became Queen of Castile through marriage to King Philip II of Spain.
-
D.
Paola
Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
-
E.
Paola
Paola is a town in southeastern Malta known for its historic sites, including the prehistoric Ħal Saflieni Hypogeum and other cultural landmarks.
- 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_69ca841e4cd481908e738c74e958eaea |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd06b3c314819096632b8263288aae |
completed | April 1, 2026, 11:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09bde36688190bf66669f585dcee7 |
completed | April 4, 2026, 5:04 a.m. |
Created at: March 30, 2026, 7:31 p.m.