Triple
T15410647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernardo Márquez García |
E368580
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Márquez García |
E631926
|
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: Márquez García | Statement: [Bernardo Márquez García, familyName, Márquez García]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Márquez García Context triple: [Bernardo Márquez García, familyName, Márquez García]
-
A.
Gabriel Eligio García
Gabriel Eligio García was a Colombian pharmacist and telegraph operator best known as the father of Nobel Prize–winning writer Gabriel García Márquez.
-
B.
Márquez
chosen
Márquez is a Spanish-language surname borne by numerous notable figures across the Spanish-speaking world, including athletes, artists, and writers.
-
C.
García Vivanco
García Vivanco is a Spanish-language surname associated with individuals such as Francisco García Vivanco.
-
D.
García Morte
García Morte is the family name of Spanish actor Álvaro Morte, internationally known for his role as "The Professor" in the series Money Heist.
-
E.
Jorge Luis Ochoa
Jorge Luis Ochoa is a Colombian drug trafficker best known as one of the founding leaders of the Medellín Cartel.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ea600b48190a3dbca1a68a2a1cd |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a7356548190af5651ab0bc03ab9 |
completed | May 9, 2026, 11:28 a.m. |
Created at: April 10, 2026, 3:20 a.m.