Triple

T18520136
Position Surface form Disambiguated ID Type / Status
Subject John Walsh E452561 entity
Predicate employer P7 FINISHED
Object Lifetime Television 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: Lifetime Television | Statement: [John Walsh, employer, Lifetime Television]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lifetime Television
Context triple: [John Walsh, employer, Lifetime Television]
  • A. Legendary Television
    Legendary Television is the television production arm of Legendary Pictures, known for developing and producing scripted series across cable, streaming, and broadcast platforms.
  • B. Lifetime Movie Network
    Lifetime Movie Network is an American cable television channel specializing in made-for-TV movies and female-focused dramatic programming.
  • C. Whole Life
    "Whole Life" is a song by Danish musician and producer Trentemøller from his 2019 album *Obverse*, blending atmospheric electronic soundscapes with melancholic melodies.
  • D. Lifetime chosen
    Lifetime is an American cable television network known for its original movies and series primarily targeting a female audience.
  • E. Lifetime Television for Women
    Lifetime Television for Women is an American cable network known for its female-focused original movies, dramas, and reality programming.
  • 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_69d8d386df84819092355ebb260d848e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5338db5e4819086503a2176dfe499 completed April 19, 2026, 7:57 p.m.
Created at: April 10, 2026, 11:37 a.m.