Triple
T7721316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anichkov Palace |
E175017
|
entity |
| Predicate | rebuiltBy |
P529
|
FINISHED |
| Object | Carlo Rossi |
E45520
|
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: Carlo Rossi | Statement: [Anichkov Palace, rebuiltBy, Carlo Rossi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carlo Rossi Context triple: [Anichkov Palace, rebuiltBy, Carlo Rossi]
-
A.
Carlo Rossi
chosen
Carlo Rossi was a prominent 19th-century Italian-born Russian architect best known for shaping the neoclassical cityscape of Saint Petersburg.
-
B.
Luciano Rossi
Luciano Rossi is an Italian actor best known for his character roles in Spaghetti Westerns and crime films of the 1960s and 1970s.
-
C.
Enrico Colantoni
Enrico Colantoni is a Canadian actor best known for his roles in television series such as Veronica Mars and Just Shoot Me!, as well as films like Galaxy Quest.
-
D.
Carlo Di Palma
Carlo Di Palma was an acclaimed Italian cinematographer best known for his innovative work with directors like Michelangelo Antonioni and Woody Allen.
-
E.
Guido Quaroni
Guido Quaroni is an Italian-born Pixar technical director and voice actor best known for voicing the character Guido in the animated film "Cars."
- 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_69c6995d541c81909eaa646b1a8369a9 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702f0366c8190a78f0b03f090fc2c |
completed | March 27, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d534fbc3fc8190b64611ef1de92865 |
completed | April 7, 2026, 4:46 p.m. |
Created at: March 27, 2026, 4:05 p.m.