Triple
T10515642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wayne Shorter |
E248022
|
entity |
| Predicate | partnerOf |
P1136
|
FINISHED |
| Object | Carolina Dos Santos |
E248022
|
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: Carolina Dos Santos | Statement: [Wayne Shorter, partnerOf, Carolina Dos Santos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carolina Dos Santos Context triple: [Wayne Shorter, partnerOf, Carolina Dos Santos]
-
A.
Carolina Dos Santos
chosen
Carolina Dos Santos was the wife of renowned American jazz saxophonist and composer Wayne Shorter.
-
B.
Caroline Celico
Caroline Celico is a Brazilian socialite, former pastor, and philanthropist known for her work with charitable organizations and her past marriage to footballer Kaká.
-
C.
Carolina Goic
Carolina Goic is a Chilean politician from the Christian Democratic Party who has served as a senator and was her party’s presidential candidate in 2017.
-
D.
Caroline Gomes
Caroline Gomes is a Brazilian human rights activist recognized internationally for her work defending marginalized communities and democratic freedoms.
-
E.
Sara Sampaio
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.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509cbacb08190a446c864b97823ad |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a05ffdc8190a69b39c807a06042 |
completed | April 10, 2026, 10:30 p.m. |
Created at: April 6, 2026, 12:28 p.m.