Triple
T22645697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernardes |
E558955
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Bernardez |
—
|
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: Bernardez | Statement: [Bernardes, hasSpellingVariant, Bernardez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bernardez Context triple: [Bernardes, hasSpellingVariant, Bernardez]
-
A.
Bernárdez
chosen
Bernárdez is a Spanish-language surname of likely Galician or broader Iberian origin.
-
B.
Bernabé
Bernabé is the Spanish given name of former New York Yankees All-Star center fielder Bernie Williams.
-
C.
Bernardes
Bernardes is a Portuguese-language surname commonly found in Brazil and other Lusophone countries.
-
D.
Balderas
Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
-
E.
Peyro Clabado
Peyro Clabado is a famous precariously balanced granite boulder in the Sidobre region of southern France, known as a striking natural rock formation and local landmark.
- 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_69e24547f7fc819086e2c4ba3b979657 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f170371fe08190a6a53809d185f8b5 |
completed | April 29, 2026, 2:43 a.m. |
Created at: April 17, 2026, 3:05 p.m.