Triple
T7909605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antonino Giovanni Ribisi |
E183663
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Ribisi |
E183664
|
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: Ribisi | Statement: [Antonino Giovanni Ribisi, familyName, Ribisi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ribisi Context triple: [Antonino Giovanni Ribisi, familyName, Ribisi]
-
A.
Ribisi
chosen
Ribisi is the surname of American actor Giovanni Ribisi, known for his roles in films like "Saving Private Ryan" and "Avatar" and the TV series "Friends."
-
B.
Rizo
Rizo is a small settlement within the Municipality of Missolonghi in western Greece.
-
C.
Kibibi
Kibibi is a lively and energetic host character in Disney's "Festival of the Lion King" stage show at Disney theme parks.
-
D.
Kakkalos
Kakkalos is a Greek surname most notably associated with Christos Kakkalos, the first recorded climber to reach the summit of Mount Olympus.
-
E.
Matoto
Matoto is a populous suburban district and key administrative commune within the capital city of Conakry, Guinea.
- 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_69ca828dec0c81908b8f55a4dbbb53ff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a5c85ac81908de2ca387826ea2f |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bd54f548190916bf00852f37224 |
completed | March 31, 2026, 5:29 a.m. |
Created at: March 30, 2026, 5:03 p.m.