Triple
T965202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dubai Frame |
E20822
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object | Fernando Donis |
E129320
|
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: Fernando Donis | Statement: [Dubai Frame, architect, Fernando Donis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fernando Donis Context triple: [Dubai Frame, architect, Fernando Donis]
-
A.
Fernando Donis
chosen
Fernando Donis is a Mexican architect known for designing prominent landmark structures, including the iconic Dubai Frame.
-
B.
Claudio Fogolin
Claudio Fogolin was an Italian entrepreneur and automotive pioneer best known as one of the founders behind the historic car manufacturer Lancia.
-
C.
Sergio Chiamparino
Sergio Chiamparino is an Italian politician best known for serving as Mayor of Turin and President of the Piedmont region.
-
D.
Alberto Cavos
Alberto Cavos was a 19th-century Russian-Italian architect best known for designing and reconstructing major imperial theaters in Russia, including the Bolshoi Theatre in Moscow and the Mariinsky Theatre in Saint Petersburg.
-
E.
Alberto Colantuoni
Alberto Colantuoni was an Italian literary figure best known for establishing the prestigious Viareggio Prize for literature.
- 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_69a493b33d2c81909c52c369d3ca8436 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b431d61481908b53490e99670363 |
completed | March 1, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac5e9b74e481908c7d8256bd180d73 |
completed | March 7, 2026, 5:21 p.m. |
Created at: March 1, 2026, 7:40 p.m.