Triple
T22871983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iberê Camargo |
E567219
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Iberê |
—
|
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: Iberê | Statement: [Iberê Camargo, givenName, Iberê]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iberê Context triple: [Iberê Camargo, givenName, Iberê]
-
A.
Iberê
chosen
Iberê is a Brazilian given name most notably associated with the influential painter and printmaker Iberê Camargo.
-
B.
Iberia
Iberia is a historical region of the western Mediterranean, largely corresponding to modern Spain and Portugal, known for its ancient Celtic and Roman cultures.
-
C.
Iberia
Iberia was an ancient kingdom in the Caucasus region, roughly corresponding to eastern Georgia, that played a significant role in regional politics and early Christian history.
-
D.
Iberia
Iberia is the flag carrier airline of Spain, operating an extensive network of domestic and international flights, particularly linking Europe with Latin America.
-
E.
Ibéria
Ibéria is the central movement of Claude Debussy’s orchestral triptych "Images pour orchestre," evoking the atmosphere and rhythms of Spain through impressionistic orchestration.
- 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_69e24589d8348190b96422d13a678bc1 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f05c688819097ba3d24ea8e52f5 |
completed | April 29, 2026, 3:46 a.m. |
Created at: April 17, 2026, 3:38 p.m.