Triple

T22724248
Position Surface form Disambiguated ID Type / Status
Subject Power E561947 entity
Predicate distributor P1951 FINISHED
Object Starz Distribution 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: Starz Distribution | Statement: [Power, distributor, Starz Distribution]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Starz Distribution
Context triple: [Power, distributor, Starz Distribution]
  • A. Starz Entertainment chosen
    Starz Entertainment is an American premium cable and streaming media company known for producing and distributing original television series and films.
  • B. Wild Bunch Distribution
    Wild Bunch Distribution is a European film distribution company known for handling a wide range of international and independent cinema releases.
  • C. Starz
    Starz is a 2020 studio album by Swedish rapper Yung Lean, known for its atmospheric production and introspective, melancholic style.
  • D. Cinedigm
    Cinedigm is an American entertainment company that specializes in the distribution and streaming of independent films, documentaries, and niche content across digital and physical platforms.
  • E. Associated Film Distribution
    Associated Film Distribution was a British film distribution company active in the late 1970s and early 1980s, known for handling the UK releases of various international and independent films.
  • 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_69e2454fc984819088213b58ee87a002 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17928a21c8190a1b888754ba7808b completed April 29, 2026, 3:21 a.m.
Created at: April 17, 2026, 3:20 p.m.