Triple
T10367753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afterlife |
E244298
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Stephen Volk |
E895800
|
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: Stephen Volk | Statement: [Afterlife, writer, Stephen Volk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen Volk Context triple: [Afterlife, writer, Stephen Volk]
-
A.
Stephen Volk
chosen
Stephen Volk is a British screenwriter and author best known for his work in supernatural and horror drama for film and television.
-
B.
Philip Voss
Philip Voss was a British actor known for his extensive work in theatre, television, and radio, including roles with the Royal Shakespeare Company and appearances in popular UK dramas.
-
C.
Eric Marienthal
Eric Marienthal is an American contemporary jazz saxophonist known for his work in jazz fusion and smooth jazz, including prominent collaborations with leading artists and bands.
-
D.
Peter Viertel
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.
-
E.
Michael Filerman
Michael Filerman was an American television producer best known for developing and producing popular prime-time soap operas during the 1970s and 1980s.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e97106448190a075948e63184f47 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d65fc0948190af4356fc9f5004bb |
completed | April 18, 2026, 12:54 a.m. |
Created at: April 6, 2026, noon