Triple
T13415961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Estadio Germán Becker |
E313214
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Germán Becker |
E313214
|
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: Germán Becker | Statement: [Estadio Germán Becker, namedAfter, Germán Becker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Germán Becker Context triple: [Estadio Germán Becker, namedAfter, Germán Becker]
-
A.
Germán Becker
chosen
Germán Becker was a prominent Chilean sports leader and public figure after whom the Estadio Germán Becker in Temuco, Chile, is named.
-
B.
Ernesto Kohler
Ernesto Köhler was a 19th-century Italian flautist and composer best known for his flute studies and instructional works that remain standard in flute pedagogy.
-
C.
Adolpho Leirner
Adolpho Leirner is a Brazilian art collector and patron best known for his significant collection of Brazilian concrete and neoconcrete art.
-
D.
José Baviera
José Baviera was a Spanish-born Mexican character actor known for his prolific work in classic Mexican cinema, including a role in Luis Buñuel’s film "The Exterminating Angel."
-
E.
Roberto Herlitzka
Roberto Herlitzka is an Italian actor known for his work in film, theater, and television, often portraying complex and intellectual characters.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb6e904819098cc9153fd2feaf5 |
completed | April 12, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7308095548190afb659b84f2775f2 |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:39 p.m.