Triple

T5937078
Position Surface form Disambiguated ID Type / Status
Subject The Black Album E132068 entity
Predicate hasPart P35 FINISHED
Object Lucifer E468404 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: Lucifer | Statement: [The Black Album, hasPart, Lucifer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucifer
Context triple: [The Black Album, hasPart, Lucifer]
  • A. Lucifer chosen
    Lucifer is the fallen angel and ruler of Hell in Dante Alighieri’s Divine Comedy, embodying ultimate evil and the antithesis of divine order.
  • B. Lucifer Falls
    Lucifer Falls is a dramatic multi-tiered waterfall in New York’s Finger Lakes region, known for its steep gorge setting and scenic hiking trails.
  • C. Lucifer Morningstar
    Lucifer Morningstar is a central character in the TV series "The Sandman," depicted as a powerful and androgynous ruler of Hell portrayed by Gwendoline Christie.
  • D. Remembering Satan
    "Remembering Satan" is a nonfiction book by journalist Lawrence Wright that investigates a notorious case of alleged recovered memories and satanic ritual abuse in the United States.
  • E. El Diablo
    El Diablo is the famous nickname of Bolivian football legend Marco Etcheverry, a creative attacking midfielder renowned for his playmaking skills.
  • 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_69c0085c55dc8190aa90e242c956e2fa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c038eca9688190adeed21df058daf1 completed March 22, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c06f979881908d7e98ee674f1ff2 completed March 23, 2026, 4:24 a.m.
Created at: March 22, 2026, 4:01 p.m.