Triple

T18522021
Position Surface form Disambiguated ID Type / Status
Subject Zbigniew Rybczyński E452608 entity
Predicate directed P7373 FINISHED
Object Steps 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: Steps | Statement: [Zbigniew Rybczyński, directed, Steps]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steps
Context triple: [Zbigniew Rybczyński, directed, Steps]
  • A. Steps
    Steps is a British pop group known for their catchy dance-pop hits and choreographed performances, particularly popular in the late 1990s and early 2000s.
  • B. Steps chosen
    Steps is an experimental short film by Polish filmmaker Zbigniew Rybczyński that famously integrates new footage into Sergei Eisenstein’s Battleship Potemkin to create a surreal, time-bending commentary on cinema and history.
  • C. Step
    Step is a documentary film produced by Vulcan Productions that follows a group of high school girls on a step dance team as they strive for success on and off the stage.
  • D. Step
    "Step" is a critically acclaimed indie rock song by Vampire Weekend, known for its intricate lyrics, baroque pop influences, and prominent use of melodic sampling.
  • E. Stages
    "Stages" is a song by American rock band ZZ Top, known for its catchy, synth-infused sound characteristic of their mid-1980s work.
  • 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_69d8d386df84819092355ebb260d848e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5338e6e188190a41a4ee12c1ad330 completed April 19, 2026, 7:57 p.m.
Created at: April 10, 2026, 11:37 a.m.