Triple
T18123241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volpe |
E433796
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Ricardo La Volpe |
—
|
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: Ricardo La Volpe | Statement: [Volpe, hasNotableBearer, Ricardo La Volpe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ricardo La Volpe Context triple: [Volpe, hasNotableBearer, Ricardo La Volpe]
-
A.
Ricardo La Volpe
chosen
Ricardo La Volpe is an Argentine football manager and former goalkeeper best known for coaching the Mexico national team and influencing modern Mexican football tactics.
-
B.
Gustavo Pittaluga
Gustavo Pittaluga was a Spanish composer best known for his film scores and contributions to 20th-century Spanish classical music.
-
C.
Roberto Goyeneche
Roberto Goyeneche was a renowned Argentine tango singer celebrated for his expressive phrasing and influential interpretations of classic tangos.
-
D.
Sergio Chiamparino
Sergio Chiamparino is an Italian politician best known for serving as Mayor of Turin and President of the Piedmont region.
-
E.
Fernando Parrado
Fernando Parrado is a Uruguayan survivor of the 1972 Andes plane crash who became widely known for his role in securing rescue and later work as an author and motivational speaker.
- 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddebeae88190ae50e9a258b34dbe |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:28 a.m.