Triple

T23134024
Position Surface form Disambiguated ID Type / Status
Subject Władysław Pasikowski E577258 entity
Predicate directorOf P537 FINISHED
Object Pitbull. Ostatni pies 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: Pitbull. Ostatni pies | Statement: [Władysław Pasikowski, directorOf, Pitbull. Ostatni pies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pitbull. Ostatni pies
Context triple: [Władysław Pasikowski, directorOf, Pitbull. Ostatni pies]
  • A. Pitbull. Ostatni pies chosen
    "Pitbull. Ostatni pies" is a 2018 Polish crime action film in the popular "Pitbull" series, featuring Bogusław Linda as a veteran cop drawn back into a brutal underworld conflict.
  • B. PIT
    PIT is the standard abbreviation used for the former American Basketball Association team, the Pittsburgh Pipers.
  • C. PIT
    PIT is the three-letter IATA airport code for Pittsburgh International Airport, the primary commercial airport serving the Pittsburgh, Pennsylvania metropolitan area.
  • D. PIT
    PIT is the standard three-letter abbreviation used for the NHL’s Pittsburgh Penguins in scores, standings, and statistics.
  • E. PIT
    PIT is a key Polish defense industry company specializing in the development and production of advanced military technologies and systems.
  • 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_69e245f7b0e481909c473ff4e6a54e2c completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e8ab9b08190969984f8c4494b0f completed April 29, 2026, 4:52 a.m.
Created at: April 17, 2026, 4 p.m.