Triple

T8129767
Position Surface form Disambiguated ID Type / Status
Subject Party Down E189824 entity
Predicate originalNetwork P2594 FINISHED
Object Starz E88556 NE FINISHED

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 | Statement: [Party Down, originalNetwork, Starz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Starz
Context triple: [Party Down, originalNetwork, Starz]
  • 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. Cinemax
    Cinemax is an American premium cable and satellite television network known for airing feature films, original series, and late-night programming.
  • C. Paramount Vantage
    Paramount Vantage was a specialty film division of Paramount Pictures focused on producing and distributing independent, art-house, and prestige films.
  • D. Constellation Entertainment
    Constellation Entertainment is a film production company known for producing feature films such as the legal drama "The Rainmaker."
  • E. The Weinstein Company
    The Weinstein Company was an American independent film studio and distributor founded by Bob and Harvey Weinstein, known for producing and releasing numerous critically acclaimed and award-winning films.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82bcb4848190a9a9d036ad768642 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb43b6b4dc8190be237e6dd21c863b completed March 31, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc947a7354819088c6f3cc6ab677cf completed April 1, 2026, 3:43 a.m.
Created at: March 30, 2026, 5:34 p.m.