Triple
T7235069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marianne Peretti |
E155201
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Marianne Peretti |
E155201
|
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: Marianne Peretti | Statement: [Marianne Peretti, name, Marianne Peretti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marianne Peretti Context triple: [Marianne Peretti, name, Marianne Peretti]
-
A.
Marianne Peretti
chosen
Marianne Peretti was a French-Brazilian artist renowned for her monumental stained-glass works in major Brazilian modernist buildings, including Oscar Niemeyer’s Cathedral of Brasília.
-
B.
Françoise Rosay
Françoise Rosay was a prominent French stage and film actress known for her powerful character roles in European cinema from the 1920s through the 1950s.
-
C.
Claudine Longet
Claudine Longet is a French-born singer and actress known for her soft, breathy vocal style and appearances in 1960s American television and film.
-
D.
Suzanne Jolibois
Suzanne Jolibois was the wife of French phenomenologist and philosopher Maurice Merleau-Ponty.
-
E.
Monique Dunan
Monique Dunan was a costume designer known for her work on the film "Fedora."
- 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_69c688143bfc81908d4176617735e601 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea130e5c819087f74883760fe327 |
completed | March 27, 2026, 8:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cc2d96588190bcf150cbfe4d015c |
completed | March 28, 2026, 12:40 p.m. |
Created at: March 27, 2026, 2:55 p.m.