Triple
T10497430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonard Bernstein |
E247574
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Felicia Montealegre |
E49263
|
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: Felicia Montealegre | Statement: [Leonard Bernstein, spouse, Felicia Montealegre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Felicia Montealegre Context triple: [Leonard Bernstein, spouse, Felicia Montealegre]
-
A.
Felicia Montealegre
chosen
Felicia Montealegre was a Chilean-Costa Rican actress and social activist best known as the wife of American composer and conductor Leonard Bernstein.
-
B.
Patricia Alvaran
Patricia Alvaran is known as the former wife of American actor Tom Berenger.
-
C.
Rosario Flores
Rosario Flores is a Spanish singer and actress known for her work in film and music, often associated with Pedro Almodóvar’s cinema and flamenco-influenced pop.
-
D.
Karen Peralta
Karen Peralta is a character in the television series "Brooklyn Nine-Nine," known as the mother of main protagonist Jake Peralta.
-
E.
Elena Flores
Elena Flores is a Spanish politician who succeeded Marta Fernández Miranda in public office.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5098d8ac481909c4adedbc4ad1c03 |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a05ffdc8190a69b39c807a06042 |
completed | April 10, 2026, 10:30 p.m. |
Created at: April 6, 2026, 12:24 p.m.