Triple
T13508251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Den of Thieves |
E321069
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Paul Scheuring |
E323104
|
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: Paul Scheuring | Statement: [Den of Thieves, writer, Paul Scheuring]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Scheuring Context triple: [Den of Thieves, writer, Paul Scheuring]
-
A.
Paul Scheuring
chosen
Paul Scheuring is an American screenwriter, director, and producer best known as the creator of the television series "Prison Break."
-
B.
Jo Mielziner
Jo Mielziner was a highly influential American theatrical scenic and lighting designer, renowned for his innovative and atmospheric work on mid-20th-century Broadway productions.
-
C.
Ian Bader
Ian Bader is a prominent architect and partner at the international architecture firm Pei Cobb Freed & Partners.
-
D.
Paul Hoen
Paul Hoen is an American television and film director best known for his work on numerous Disney Channel Original Movies and youth-oriented productions.
-
E.
David Margulies
David Margulies was an American character actor known for his roles in films such as Ghostbusters and numerous appearances on stage 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf85a74081909eb08751fc55ce8f |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d9009688190b8f18bb3525c6afd |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:43 p.m.