Triple
T18575052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Risk |
E453962
|
entity |
| Predicate | reviewedBy |
P1394
|
FINISHED |
| Object | Variety |
—
|
NE NERFINISHED |
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: Variety | Statement: [Risk, reviewedBy, Variety]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Variety Context triple: [Risk, reviewedBy, Variety]
-
A.
Variety
chosen
Variety is a leading American entertainment trade magazine and website known for its coverage of film, television, theater, and the broader media industry.
-
B.
Variété
Variété is a multi-volume collection of essays by French writer Paul Valéry, blending literary criticism, philosophy, and reflections on art and culture.
-
C.
Variety Girl
Variety Girl is a 1947 Hollywood musical comedy film known for its star-studded Paramount studio cast and lighthearted, behind-the-scenes showbiz story.
-
D.
At the Movies
At the Movies was a long-running American film review television program, best known for featuring critics like Roger Ebert who popularized the "thumbs up/thumbs down" style of movie criticism.
-
E.
At the Movies
At the Movies was an Australian film review television program best known for its long-running co-hosts Margaret Pomeranz and David Stratton, who offered in-depth critiques and discussions of new cinema releases.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e543c8c0608190afc99235006bf87f |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 11:43 a.m.