Triple

T6296311
Position Surface form Disambiguated ID Type / Status
Subject Lacey Chabert E141138 entity
Predicate employer P7 FINISHED
Object Hallmark Channel E299885 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 Channel | Statement: [Lacey Chabert, employer, Hallmark Channel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hallmark Channel
Context triple: [Lacey Chabert, 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. ABC Family
    ABC Family was a U.S. cable television network known for family-oriented and teen-focused original series and movies, later rebranded as Freeform.
  • C. 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.
  • D. TV Land
    TV Land is an American cable television network known for airing classic television series and original sitcoms aimed primarily at adult audiences.
  • E. Sky Channel
    Sky Channel was the original name of Sky One, a British satellite television channel known for airing a mix of entertainment, drama, and imported US programming.
  • 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_69c008cdf2ac8190bb640c94478fb4ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0643ac2b48190b2db036ce709e7ea completed March 22, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5198e2c1c81909d39adffbdadcbdf completed March 26, 2026, 11:33 a.m.
Created at: March 22, 2026, 4:27 p.m.