Triple
T9869658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maria |
E239923
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Bernardo |
E196225
|
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: Bernardo | Statement: [Maria, sibling, Bernardo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bernardo Context triple: [Maria, sibling, Bernardo]
-
A.
Bernardo
chosen
Bernardo is a masculine given name of Romance-language origin, equivalent to the Germanic name Bernhard and commonly used in Italian, Spanish, and Portuguese-speaking countries.
-
B.
Bernardo Morando
Bernardo Morando was a 16th-century Italian architect best known for designing the Renaissance ideal city of Zamość in Poland.
-
C.
Bernardo Yorba
Bernardo Yorba was a prominent 19th-century Californio ranchero and landowner whose extensive holdings and influence in Southern California led to places like Yorba Linda being named in his honor.
-
D.
Don Pedro
Don Pedro is a noble prince of Aragon who serves as a charismatic and benevolent leader and matchmaker in Shakespeare’s comedy "Much Ado About Nothing."
-
E.
Don Pedro
Don Pedro is the given name of Don Pedro Colley, an American actor known for his roles in film and television during the 1960s and 1970s.
- 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_69ca84e7506c819095cbde4ff16512bb |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3d498b481908f82f31f98b57c7e |
completed | April 2, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e46209988190b97aefee6cbddbad |
completed | April 5, 2026, 4:26 a.m. |
Created at: March 30, 2026, 8:36 p.m.