Triple

T17984209
Position Surface form Disambiguated ID Type / Status
Subject Jessy Schram E430183 entity
Predicate employer P7 FINISHED
Object Hallmark Channel 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: Hallmark Channel | Statement: [Jessy Schram, employer, Hallmark Channel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hallmark Channel
Context triple: [Jessy Schram, employer, Hallmark Channel]
  • A. Hallmark Channel chosen
    Hallmark Channel is an American cable television network best known for its family-friendly movies, holiday programming, and romantic made-for-TV films.
  • B. Hallmark Entertainment
    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.
  • C. Hallmark Productions
    Hallmark Productions is a film production company best known for producing the 1971 dark comedy crime film "Cry Uncle!".
  • D. Hallmark Channel films
    Hallmark Channel films are a collection of made-for-television movies, typically romantic or family-oriented, known for their lighthearted, feel-good storytelling and seasonal themes.
  • E. Hallmark Hall of Fame
    Hallmark Hall of Fame is a long-running American television anthology series known for producing high-quality, sentimental made-for-TV movies and specials, often adapted from popular novels and plays.
  • 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b2992fe481908c0d2757b4de5bad completed April 19, 2026, 10:46 a.m.
Created at: April 10, 2026, 10:23 a.m.