Triple
T6271524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bojangles |
E140544
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Peter Riegert |
E547205
|
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 Riegert | Statement: [Bojangles, castMember, Peter Riegert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Riegert Context triple: [Bojangles, castMember, Peter Riegert]
-
A.
Peter Riegert
chosen
Peter Riegert is an American actor and director known for his roles in films such as "Animal House," "Local Hero," and "The Mask," as well as numerous television appearances.
-
B.
Paul Knabenshue
Paul Knabenshue was an American diplomat best known for serving as the first U.S. Ambassador to Iraq in the early 20th century.
-
C.
Richard Kletter
Richard Kletter is an American screenwriter and producer known for his work in film and television, including contributions to family and adventure movies.
-
D.
Alan Schilke
Alan Schilke is a prominent roller coaster engineer known for designing innovative and extreme thrill rides for major amusement parks worldwide.
-
E.
Peter Vinnemeier
Peter Vinnemeier is a German entrepreneur best known as a co-founder of the global hotel search and price comparison platform Trivago.
- 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_69c008cabc4081909723e2547c9d6cc0 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063bb340c8190ab81b249cefa91ca |
completed | March 22, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c65fb7e7c88190bef0a15c12250b13 |
completed | March 27, 2026, 10:45 a.m. |
Created at: March 22, 2026, 4:25 p.m.