Triple
T4525068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florentino Ariza |
E103356
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Florentino |
E103356
|
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: Florentino | Statement: [Florentino Ariza, givenName, Florentino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Florentino Context triple: [Florentino Ariza, givenName, Florentino]
-
A.
Florentino Ariza
chosen
Florentino Ariza is the obsessive, romantically idealistic protagonist of Gabriel García Márquez’s novel "Love in the Time of Cholera," known for his lifelong, unrequited love for Fermina Daza.
-
B.
Rodolfo
Rodolfo is the original Italian given name of Rudolph Valentino, the iconic silent film actor and sex symbol of the 1920s.
-
C.
Eduardo
Eduardo is a masculine given name commonly used in Spanish and Portuguese-speaking countries, equivalent to the English name Edward.
-
D.
Ernesto
Ernesto is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
-
E.
Antonio Madrigal
Antonio Madrigal is the youngest member of the magical Madrigal family in Disney's film "Encanto," known for his special ability to communicate with animals.
- 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_69bd43dba59881908cf59b31df8c7ae1 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd577490f48190ac1fb3cbf3d8a41e |
completed | March 20, 2026, 2:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bda4483aa481909a100bf20085d667 |
completed | March 20, 2026, 7:47 p.m. |
Created at: March 20, 2026, 1:03 p.m.