Triple
T10047738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sara Sampaio |
E207659
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sara Pinto Sampaio |
E207659
|
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: Sara Pinto Sampaio | Statement: [Sara Sampaio, name, Sara Pinto Sampaio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sara Pinto Sampaio Context triple: [Sara Sampaio, name, Sara Pinto Sampaio]
-
A.
Sara Sampaio
chosen
Sara Sampaio is a Portuguese fashion model best known for her work with Victoria’s Secret and appearances in major international fashion magazines and campaigns.
-
B.
Luciana Souza
Luciana Souza is a Brazilian jazz singer and composer acclaimed for her sophisticated vocal style and innovative blend of Brazilian music and contemporary jazz.
-
C.
Lais Ribeiro
Lais Ribeiro is a Brazilian fashion model best known for her work with Victoria’s Secret and appearances in its high-profile runway shows.
-
D.
Regina Silveira
Regina Silveira is a Brazilian contemporary artist renowned for her conceptual installations and explorations of shadow, perspective, and spatial perception.
-
E.
Giovanna Almeida Póvoas
Giovanna Almeida Póvoas is the daughter of Brazilian singer and performer Daniela Mercury.
- 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_69ca835ad0608190b7c80b292da004f5 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf664dd881908786fcd802bf10da |
completed | April 2, 2026, 2:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d354d7202c81908d42107c346900dc |
completed | April 6, 2026, 6:38 a.m. |
Created at: March 30, 2026, 8:56 p.m.