Triple

T22034618
Position Surface form Disambiguated ID Type / Status
Subject Gene Siskel E544169 entity
Predicate familyName P18 FINISHED
Object Siskel 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 | Statement: [Gene Siskel, familyName, Siskel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siskel
Context triple: [Gene Siskel, familyName, Siskel]
  • A. Charlie Siskel
    Charlie Siskel is an American film and television producer and director known for his work on documentaries and comedy programs.
  • B. Gene Siskel chosen
    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.
  • C. Siskel & Ebert
    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.
  • D. 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.
  • E. Roger Ebert
    Roger Ebert was a pioneering American film critic, journalist, and screenwriter renowned for his influential reviews, television programs, and role in popularizing accessible, mainstream film criticism.
  • 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_69e11e2f98c8819083e11eab90942a78 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127f0594881909caf4fbc3e0a2d50 completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:24 p.m.