Triple
T21274124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José Nasazzi |
E524343
|
entity |
| Predicate | nickName |
P2937
|
FINISHED |
| Object | El Mariscal |
—
|
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: El Mariscal | Statement: [José Nasazzi, nickName, El Mariscal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: El Mariscal Context triple: [José Nasazzi, nickName, El Mariscal]
-
A.
Mariscal
Mariscal is a Spanish surname most notably associated with designer and illustrator Javier Mariscal, known for his influential work in graphic design and visual art.
-
B.
El Gran Mariscal
chosen
El Gran Mariscal is the legendary nickname of José Nasazzi, the iconic Uruguayan football defender and captain who led Uruguay to early World Cup and Olympic glory.
-
C.
Capitán Vidal
Capitán Vidal is the ruthless and authoritarian Falangist officer who serves as the primary antagonist in Guillermo del Toro’s dark fantasy film "Pan’s Labyrinth."
-
D.
El Grau
El Grau is a coastal neighborhood of Valencia, Spain, known for its historic port area and maritime character.
-
E.
Coronel
Coronel is a coastal city in south-central Chile known for its historic coal-mining industry and fishing activities along the Pacific Ocean.
- 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_69e0b516293c819089458ea2ec85f85e |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73655717c819092f71ed1920f52b5 |
completed | April 21, 2026, 8:33 a.m. |
Created at: April 16, 2026, 4:01 p.m.