Triple

T16799638
Position Surface form Disambiguated ID Type / Status
Subject Patrick Fabian E408320 entity
Predicate appearedIn P795 FINISHED
Object Lucifer E1013440 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: [Patrick Fabian, appearedIn, Lucifer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucifer
Context triple: [Patrick Fabian, appearedIn, Lucifer]
  • A. Lucifer
    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
    Lucifer is the sly, spoiled pet cat of Lady Tremaine in Disney’s Cinderella, known for tormenting Cinderella and her animal friends.
  • C. Lucifer chosen
    "Lucifer" is an American urban fantasy television series that follows Lucifer Morningstar, the Devil, as he abandons Hell to run a Los Angeles nightclub and consult for the LAPD.
  • D. Lucifer
    Lucifer is a famous 1890 painting by German Symbolist artist Franz von Stuck, depicting a brooding, monumental figure of the fallen angel.
  • E. I, Lucifer
    "I, Lucifer" is a concept album by The Real Tuesday Weld that blends cabaret-pop, jazz, and electronic elements to musically interpret Glen Duncan’s novel of the same name from the Devil’s perspective.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2acd3548190a5f6ce7d1cf74117 completed April 18, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab1299ac81908e9f1eebc3424bb9 completed May 10, 2026, 3:58 p.m.
Created at: April 10, 2026, 5:22 a.m.