Triple
T2727473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simón de Anda y Salazar |
E60227
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Simón |
E130204
|
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: Simón | Statement: [Simón de Anda y Salazar, givenName, Simón]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simón Context triple: [Simón de Anda y Salazar, givenName, Simón]
-
A.
Simón
chosen
Simón is the given name of Simón Bolívar, the famed Latin American military and political leader who played a key role in the independence of several South American countries from Spanish rule.
-
B.
Andrés
Andrés is a Spanish given name commonly used as the equivalent of Andrew.
-
C.
Burque
Burque is a colloquial nickname commonly used to refer to the city of Albuquerque, New Mexico.
-
D.
Camilo
Camilo is a masculine given name of Spanish origin, notably borne by Cuban revolutionary leader Camilo Cienfuegos.
-
E.
Martín
Martín is a masculine given name of Latin origin, commonly used in Spanish-speaking countries and derived from the name Martinus, associated with the Roman god Mars.
- 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_69ab4b75cd908190b691ef0d1801acda |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdacffa6481909df37335e8fdd595 |
completed | March 7, 2026, 7:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc036a5f88190aeb828829356ef47 |
completed | March 10, 2026, 6:54 a.m. |
Created at: March 6, 2026, 9:56 p.m.