Triple
T29487821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derren Brown: Russian Roulette |
E747978
|
entity |
| Predicate | notableElement |
P7734
|
FINISHED |
| Object | apparent live game of Russian roulette |
—
|
LITERAL FINISHED |
How this triple was built (1 step)
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: apparent live game of Russian roulette | Statement: [Derren Brown: Russian Roulette, notableElement, apparent live game of Russian roulette]
Provenance (2 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_69f0bd43ba30819095eb1cfc3adf525c |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66c07b93c8190b773dbfd6a02452a |
completed | May 2, 2026, 9:26 p.m. |
Created at: April 28, 2026, 4:10 p.m.