Triple
T14502039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Viertel |
E340165
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Peter Viertel |
E340165
|
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 Viertel | Statement: [Peter Viertel, name, Peter Viertel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Viertel Context triple: [Peter Viertel, name, Peter Viertel]
-
A.
Peter Viertel
chosen
Peter Viertel was a German-born American novelist and screenwriter known for works like "White Hunter Black Heart" and for his contributions to mid-20th-century Hollywood cinema.
-
B.
Peter Riegert
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.
-
C.
Stephen Volk
Stephen Volk is a British screenwriter and author best known for his work in supernatural and horror drama for film and television.
-
D.
Michael Wandmacher
Michael Wandmacher is an American film and television composer known for his work on horror and action projects, including the score for "My Bloody Valentine 3D."
-
E.
Thomas Meyer
Thomas Meyer is a professional associated with Jonathan Williams as his partner, likely in a business or legal context.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de94e0f9048190a2d266cfa4f9dfb6 |
completed | April 14, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d9b6f7481908b7eb76226a93545 |
completed | May 8, 2026, 4:59 a.m. |
Created at: April 10, 2026, 1:21 a.m.