Triple

T15949892
Position Surface form Disambiguated ID Type / Status
Subject Sanctuary E386786 entity
Predicate originalNetwork P2594 FINISHED
Object The Movie Network E1086568 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: The Movie Network | Statement: [Sanctuary, originalNetwork, The Movie Network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Movie Network
Context triple: [Sanctuary, originalNetwork, The Movie Network]
  • A. The Movie Network chosen
    The Movie Network was a Canadian premium television service known for broadcasting commercial-free movies, original series, and special event programming.
  • B. Nine Network
    Nine Network is a major Australian commercial television network known for broadcasting popular news, sports, and entertainment programming nationwide.
  • C. The Family Channel
    The Family Channel was a Canadian specialty television channel focused on family-oriented and youth programming, later rebranded under the name Freeform.
  • D. Paramount Network
    Paramount Network is an American cable television channel owned by Paramount Global, known for airing original scripted series, reality shows, and feature films.
  • E. MCA Television
    MCA Television was a major American television production and distribution company active in the mid-20th century, known for syndicating a wide range of popular TV programs.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d4c5008190a56ebf8c28f712dc completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe78a76481909622d7a2443cba4d completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:53 a.m.