Triple

T20741659
Position Surface form Disambiguated ID Type / Status
Subject Farscape E510456 entity
Predicate productionCompany P490 FINISHED
Object Hallmark Entertainment E755734 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: Hallmark Entertainment | Statement: [Farscape, productionCompany, Hallmark Entertainment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hallmark Entertainment
Context triple: [Farscape, productionCompany, Hallmark Entertainment]
  • A. Hallmark Entertainment chosen
    Hallmark Entertainment is a television and film production company best known for creating family-friendly movies and holiday-themed programming, particularly for the Hallmark Channel.
  • B. Hallmark Productions
    Hallmark Productions is a film production company best known for producing the 1971 dark comedy crime film "Cry Uncle!".
  • C. Hallmark Releasing
    Hallmark Releasing was a film distribution company known for handling the release of low-budget and exploitation films in the 1970s.
  • D. Hallmark Channel
    Hallmark Channel is an American cable television network best known for its family-friendly movies, holiday programming, and romantic made-for-TV films.
  • E. Hallmark Cards
    Hallmark Cards is a major American company best known for its greeting cards, gift products, and ownership of media properties such as the Hallmark Channel.
  • 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c20f9670819082199de21a8d9818 completed April 21, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08e83bee00819087ca4a2f57d97590 completed May 16, 2026, 9:57 p.m.
Created at: April 16, 2026, 12:33 p.m.