Triple
T3197134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saboteur |
E66960
|
entity |
| Predicate | storyBy |
P1955
|
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: [Saboteur, storyBy, Peter Viertel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Viertel Context triple: [Saboteur, storyBy, 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.
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."
-
C.
Philip Steuer
Philip Steuer is a film producer best known for his work on major studio projects, including the Disney drama "Saving Mr. Banks."
-
D.
Stephen Endlicher
Stephen Endlicher was a 19th-century Austrian botanist and linguist known for his influential work in plant taxonomy and classification.
-
E.
Michael Klein
Michael Klein is the father of Canadian author and activist Naomi Klein.
- 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_69ad8588ba18819086a10951c32ecb80 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada7192994819084817307065a25e2 |
completed | March 8, 2026, 4:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28e69ff6081908189e2e756e3748b |
completed | March 12, 2026, 9:59 a.m. |
Created at: March 8, 2026, 3:07 p.m.