Triple
T21140699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jorge Ben Jor |
E520917
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Zumbi |
—
|
NE NERFINISHED |
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: Zumbi | Statement: [Jorge Ben Jor, notableWork, Zumbi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zumbi Context triple: [Jorge Ben Jor, notableWork, Zumbi]
-
A.
Zumbi
Zumbi is a neighborhood in the city of Recife, Brazil.
-
B.
Zumbi
Zumbi is a small town in southeastern Ecuador that serves as an administrative and commercial center in the Amazonian region of Zamora-Chinchipe.
-
C.
Zumbi dos Palmares
chosen
Zumbi dos Palmares was a 17th-century Afro-Brazilian leader and last chief of the Quilombo dos Palmares, symbolizing Black resistance to slavery in Brazil.
-
D.
Martim Afonso de Sousa
Martim Afonso de Sousa was a 16th-century Portuguese nobleman, navigator, and colonial administrator who led early expeditions to Brazil and helped establish Portugal’s colonial presence there.
-
E.
Simão Bacamarte
Simão Bacamarte is a fictional alienist (psychiatrist) and central figure in Machado de Assis’s novella "O Alienista," known for his obsessive and satirical approach to diagnosing madness.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b50b53048190ae34e8abbe3c5ada |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7235f77708190809d6aa3ee8056aa |
completed | April 21, 2026, 7:12 a.m. |
Created at: April 16, 2026, 2:57 p.m.