Triple
T20006973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zen |
E494483
|
entity |
| Predicate | hasProtagonist |
P8706
|
FINISHED |
| Object | Aurelio Zen |
—
|
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: Aurelio Zen | Statement: [Zen, hasProtagonist, Aurelio Zen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aurelio Zen Context triple: [Zen, hasProtagonist, Aurelio Zen]
-
A.
Aurelio Zen
chosen
Aurelio Zen is an Italian police detective and the protagonist of Michael Dibdin’s crime novel series, known for his wry intelligence and investigations across contemporary Italy.
-
B.
Roberto Moranzoni
Roberto Moranzoni was an Italian conductor active in the early 20th century, known for his work in opera and collaborations with major composers of his time.
-
C.
Mauro Codussi
Mauro Codussi was an early Renaissance architect active in Venice, known for introducing classical architectural forms to the city through churches and civic buildings.
-
D.
Antonio Morandi
Antonio Morandi was an Italian Renaissance architect known for his work on significant public and academic buildings, including early anatomical theatres.
-
E.
Aldo Costa
Aldo Costa is an Italian motorsport engineer renowned for designing multiple championship-winning Formula One cars for teams such as Ferrari and Mercedes.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a648a88190853ee741edcf6ca2 |
completed | April 20, 2026, 5:25 p.m. |
Created at: April 11, 2026, 3:33 p.m.