Triple

T21933249
Position Surface form Disambiguated ID Type / Status
Subject Sneak Previews E541623 entity
Predicate followedBy P78 FINISHED
Object Siskel & Ebert 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: Siskel & Ebert | Statement: [Sneak Previews, followedBy, Siskel & Ebert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siskel & Ebert
Context triple: [Sneak Previews, followedBy, Siskel & Ebert]
  • A. Siskel & Ebert chosen
    Siskel & Ebert was a popular American film review television program featuring critics Gene Siskel and Roger Ebert, known for their influential "thumbs up/thumbs down" movie ratings.
  • B. Roeper & Ebert
    Roeper & Ebert was a film review television program co-hosted by critics Richard Roeper and Roger Ebert, known for their on-air discussions and evaluations of current movies.
  • C. Ebert
    Ebert is a German surname most notably associated with prominent political figures such as Friedrich Ebert, the first President of Germany, and his son Friedrich Ebert Jr.
  • D. Gene Siskel
    Gene Siskel was a prominent American film critic best known for his influential movie review television programs and long-running partnership with fellow critic Roger Ebert.
  • E. Charlie Siskel
    Charlie Siskel is an American film and television producer and director known for his work on documentaries and comedy programs.
  • 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_69e0c47e2e5c81909a7f74ce3de50911 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12400a1248190b3f8f27f2aa4a858 completed April 28, 2026, 9:17 p.m.
Created at: April 16, 2026, 7:47 p.m.