Triple
T6794257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giancarlo Peris |
E156012
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Giancarlo Peris |
E156012
|
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: Giancarlo Peris | Statement: [Giancarlo Peris, name, Giancarlo Peris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giancarlo Peris Context triple: [Giancarlo Peris, name, Giancarlo Peris]
-
A.
Giancarlo Peris
chosen
Giancarlo Peris is an Italian former athlete best known for lighting the Olympic cauldron at the opening ceremony of the 1960 Rome Summer Games.
-
B.
Enzo Barboni
Enzo Barboni was an Italian film director and screenwriter best known for his popular spaghetti western comedies, particularly those starring Terence Hill and Bud Spencer.
-
C.
Giancarlo Giannini
Giancarlo Giannini is an acclaimed Italian actor and voice actor known for his intense performances in European cinema and international films, as well as for dubbing prominent Hollywood actors into Italian.
-
D.
Antonio Rossi
Antonio Rossi is an Italian sprint canoer and multiple Olympic gold medalist renowned for his success in the 1990s and early 2000s.
-
E.
Leo Rossi
Leo Rossi is an American character actor known for his supporting roles in crime dramas and thrillers in film and television.
- 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_69c6881844448190a65822d9b39d7f88 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2c59648819081736d27d52d957f |
completed | March 27, 2026, 6:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c74253f9b4819099057c730237c269 |
completed | March 28, 2026, 2:52 a.m. |
Created at: March 27, 2026, 2:15 p.m.