Triple
T21540101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aníbal Cortés |
E531460
|
entity |
| Predicate | alias |
P39
|
FINISHED |
| Object | Río |
—
|
NE NERFINISHED |
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: Río | Statement: [Aníbal Cortés, alias, Río]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Río Context triple: [Aníbal Cortés, alias, Río]
-
A.
Río
chosen
Río is a central character in the Spanish television series "La Casa de Papel" ("Money Heist"), known as a young, talented hacker and member of the Professor's heist crew.
-
B.
Gran Rio
Gran Rio is a major river in central Suriname that forms one of the principal headwaters of the Suriname River, flowing through sparsely populated rainforest regions.
-
C.
Riveiro
Riveiro is a surname variant of Ribeiro, a common Portuguese and Galician family name.
-
D.
Río Consulado
Río Consulado is an urban river in Mexico City that runs through boroughs such as Azcapotzalco and has been heavily modified and canalized as part of the city’s drainage system.
-
E.
Bellós River
The Bellós River is a mountain river in the Spanish Pyrenees, known for carving deep gorges and canyons within and around Ordesa y Monte Perdido National Park.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c45f17148190949c330ab9c27706 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee9d119e0c8190a207c0e8ae328a95 |
completed | April 26, 2026, 11:17 p.m. |
Created at: April 16, 2026, 6:28 p.m.