Triple
T12113105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valdir Bündchen |
E288483
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Valdir Bündchen |
E288483
|
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: Valdir Bündchen | Statement: [Valdir Bündchen, name, Valdir Bündchen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valdir Bündchen Context triple: [Valdir Bündchen, name, Valdir Bündchen]
-
A.
Valdir Bündchen
chosen
Valdir Bündchen is a Brazilian public servant and the father of supermodel Gisele Bündchen.
-
B.
Adriano Goldman
Adriano Goldman is a Brazilian cinematographer known for his acclaimed work on both feature films and television series, including projects like "August: Osage County" and "The Crown."
-
C.
Claudio Miranda
Claudio Miranda is an acclaimed Chilean-born cinematographer best known for his Oscar-winning visual work on films such as "Life of Pi."
-
D.
Selton Mello
Selton Mello is a Brazilian actor and director known for his acclaimed performances in film and television, including works like "The Clown" and "Lavoura Arcaica."
-
E.
Fernando Wagner
Fernando Wagner was a German-born Mexican character actor and director known for his supporting roles in mid-20th-century Mexican cinema.
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9156814148190b47d63a89fcab17c |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a75f77881908345a585a689f69f |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:49 p.m.