Triple
T16306955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bosom Buddies |
E395944
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Peter Scolari |
E166164
|
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: Peter Scolari | Statement: [Bosom Buddies, starring, Peter Scolari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Scolari Context triple: [Bosom Buddies, starring, Peter Scolari]
-
A.
Peter Scolari
chosen
Peter Scolari was an American actor best known for his comedic and character roles on television series such as "Bosom Buddies" and "Newhart."
-
B.
Leandro Barbieri
Leandro "Gato" Barbieri was an Argentine jazz saxophonist and composer known for his passionate, raw tone and influential work in Latin jazz and avant-garde jazz.
-
C.
Rudy Salles
Rudy Salles is a French centrist politician known for his long tenure as a deputy in the National Assembly and his involvement in moderate, pro-European political movements.
-
D.
Paulo Costanzo
Paulo Costanzo is a Canadian actor best known for his roles in films like "Road Trip" and TV series such as "Royal Pains" and "Joey."
-
E.
Eduardo Ciannelli
Eduardo Ciannelli was an Italian-American character actor and opera singer known for his intense screen presence and frequent portrayals of villains in classic Hollywood films.
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e288d63b688190ad5ebc3fb5dd5b4c |
completed | April 17, 2026, 7:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001fa3353c8190825b31854a97220c |
completed | May 10, 2026, 6:03 a.m. |
Created at: April 10, 2026, 5:06 a.m.