Triple
T5154975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | César Gaviria |
E116286
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Gaviria |
E116286
|
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: Gaviria | Statement: [César Gaviria, familyName, Gaviria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gaviria Context triple: [César Gaviria, familyName, Gaviria]
-
A.
César Gaviria
chosen
César Gaviria is a Colombian economist and politician who served as President of Colombia and later as Secretary General of the Organization of American States, known for his role during the country's struggle against drug cartels.
-
B.
Gustavo Gaviria
Gustavo Gaviria is a Colombian drug trafficker and cousin of Pablo Escobar, depicted in "Narcos" as a key strategist and financial mastermind of the Medellín Cartel.
-
C.
Luis Pinzón
Luis Pinzón was a military commander noted for his leadership role in the Battle of Cerro Gordo during the Mexican–American War.
-
D.
Pedro Betancourt
Pedro Betancourt is a municipality and town in Matanzas Province, Cuba, known for its agricultural activities and rural character.
-
E.
Sebastián Ramírez
Sebastián Ramírez is a software developer best known for creating the modern, high-performance Python web framework FastAPI.
- 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_69bd445d94788190b72e2cc563120995 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd78ddb01081909457ff4208eac4d7 |
completed | March 20, 2026, 4:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed927ad5481909907c8a1764e9fd8 |
completed | March 21, 2026, 5:45 p.m. |
Created at: March 20, 2026, 1:44 p.m.