Triple

T21462544
Position Surface form Disambiguated ID Type / Status
Subject Brian Clemens E529507 entity
Predicate workedOn P3 FINISHED
Object Thriller 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: Thriller | Statement: [Brian Clemens, workedOn, Thriller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thriller
Context triple: [Brian Clemens, workedOn, Thriller]
  • A. Thriller
    "Thriller" is Michael Jackson's iconic 1982 pop song, renowned for its groundbreaking music video, horror-themed narrative, and enduring influence on popular culture.
  • B. Thriller
    Thriller is a suspense-driven genre characterized by tension, high stakes, and plot twists that keep audiences on edge.
  • C. Thriller chosen
    Thriller is a British television anthology series created by Brian Clemens, known for its suspenseful, twist-filled crime and horror stories that aired in the 1970s.
  • D. Thriller
    Thriller is Michael Jackson’s landmark 1982 pop album that became the best-selling record of all time and a defining work in music history.
  • E. ThrillerMAX
    ThrillerMAX is a premium cable television channel specializing in thriller, suspense, and action-oriented films and series under the Cinemax brand.
  • 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_69e0c458133481908ae8b41a12c4edec completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9efdb188190be79b72e1bd18860 completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:09 p.m.