Triple

T13537413
Position Surface form Disambiguated ID Type / Status
Subject LMN E323296 entity
Predicate hasAlternativeName P39 FINISHED
Object Lifetime Movie Network E323295 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: Lifetime Movie Network | Statement: [LMN, hasAlternativeName, Lifetime Movie Network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lifetime Movie Network
Context triple: [LMN, hasAlternativeName, Lifetime Movie Network]
  • A. Lifetime Movie Network chosen
    Lifetime Movie Network is an American cable television channel specializing in made-for-TV movies and female-focused dramatic programming.
  • B. Lifetime Original Movies
    Lifetime Original Movies is a collection of made-for-television films produced for the Lifetime network, typically focusing on drama, romance, and true-crime stories aimed at a primarily female audience.
  • C. Nick at Nite
    Nick at Nite is an American nighttime programming block known for airing classic and syndicated sitcoms on the Nickelodeon channel.
  • 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. La Quinta Channel
    La Quinta Channel is a deep-draft shipping channel in the Corpus Christi, Texas area that serves industrial and port facilities along the Gulf Coast.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafbe39948190808062d4eff91841 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76babfb948190bc028450ddaa0b72 completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:45 p.m.