Triple
T23131037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fructuoso Rivera |
E577168
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Fructuoso
Fructuoso is a masculine given name most notably borne by Fructuoso Rivera, the first constitutional president of Uruguay.
|
E1571461
|
NE FINISHED |
How this triple was built (4 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: Fructuoso | Statement: [Fructuoso Rivera, givenName, Fructuoso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fructuoso Context triple: [Fructuoso Rivera, givenName, Fructuoso]
-
A.
Elicio
Elicio is a shepherd and one of the principal pastoral protagonists in Miguel de Cervantes’ early novel "La Galatea."
-
B.
Fermín
Fermín is a Spanish given name, historically borne by figures such as missionaries and saints in the Spanish-speaking world.
-
C.
Basilio
Basilio is the King of Poland in Calderón de la Barca’s play "La vida es sueño," whose fatalistic decisions about his son’s destiny drive the central conflict of the drama.
-
D.
Basilio
Basilio is the surname of Enriqueta Basilio, the Mexican track and field athlete famed for being the first woman to light the Olympic cauldron at the 1968 Summer Olympics.
-
E.
Basilio
Basilio is the witty, lovestruck barber and male lead in the ballet Don Quixote, renowned for his virtuosic, bravura dancing and comic charm.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Fructuoso Triple: [Fructuoso Rivera, givenName, Fructuoso]
Generated description
Fructuoso is a masculine given name most notably borne by Fructuoso Rivera, the first constitutional president of Uruguay.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fructuoso Target entity description: Fructuoso is a masculine given name most notably borne by Fructuoso Rivera, the first constitutional president of Uruguay.
-
A.
Elicio
Elicio is a shepherd and one of the principal pastoral protagonists in Miguel de Cervantes’ early novel "La Galatea."
-
B.
Fermín
Fermín is a Spanish given name, historically borne by figures such as missionaries and saints in the Spanish-speaking world.
-
C.
Basilio
Basilio is the King of Poland in Calderón de la Barca’s play "La vida es sueño," whose fatalistic decisions about his son’s destiny drive the central conflict of the drama.
-
D.
Basilio
Basilio is the surname of Enriqueta Basilio, the Mexican track and field athlete famed for being the first woman to light the Olympic cauldron at the 1968 Summer Olympics.
-
E.
Basilio
Basilio is the witty, lovestruck barber and male lead in the ballet Don Quixote, renowned for his virtuosic, bravura dancing and comic charm.
- F. None of above. chosen
Provenance (5 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_69e245f7b0e481909c473ff4e6a54e2c |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e87cd188190b466f7a4c9670e56 |
completed | April 29, 2026, 4:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c23f7dccc8190aaba967e73cc6892 |
completed | May 19, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_6a0c28ed782c8190a60cf2212a1e7861 |
completed | May 19, 2026, 9:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c29bca4c08190a29d4204c75b333f |
completed | May 19, 2026, 9:13 a.m. |
Created at: April 17, 2026, 4 p.m.