Triple
T11625779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alberto Lleras Camargo |
E276264
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Bertha Puga Martínez |
E276264
|
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: Bertha Puga Martínez | Statement: [Alberto Lleras Camargo, spouse, Bertha Puga Martínez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bertha Puga Martínez Context triple: [Alberto Lleras Camargo, spouse, Bertha Puga Martínez]
-
A.
Bertha Puga Martínez
chosen
Bertha Puga Martínez was the wife of Colombian statesman and three-time president Alberto Lleras Camargo.
-
B.
Rosa García
Rosa García is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname García.
-
C.
María Portillo
María Portillo is a notable individual recognized for achievements significant enough to be associated with the surname Portillo.
-
D.
Solana de los Barros
Solana de los Barros is a municipality in the Tierra de Barros comarca of the province of Badajoz, in the autonomous community of Extremadura in western Spain.
-
E.
María Valenzuela
María Valenzuela is an Argentine actress known for her extensive work in television, film, and theater across several decades.
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a12416908190ac2dcd7f7ebb308f |
completed | April 10, 2026, 7:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4711f37988190b496640c32c5bc16 |
completed | May 1, 2026, 9:23 a.m. |
Created at: April 8, 2026, 9:39 p.m.