Triple

T21141127
Position Surface form Disambiguated ID Type / Status
Subject Russian Romanticism E520927 entity
Predicate hasWorkExample P33193 FINISHED
Object Demon 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: Demon | Statement: [Russian Romanticism, hasWorkExample, Demon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Demon
Context triple: [Russian Romanticism, hasWorkExample, Demon]
  • A. Demon
    Demon is a classic looping steel roller coaster at California’s Great America known for its inversions and themed tunnel elements.
  • B. Demon chosen
    "Demon" is a romantic opera by Russian composer Anton Rubinstein, based on Mikhail Lermontov’s poem about a fallen spirit who falls tragically in love with a mortal woman.
  • C. Démon
    Démon is a looping steel roller coaster located at La Ronde amusement park in Montreal, Quebec, known for its inversions and intense ride experience.
  • D. Fiend
    Fiend is an American rapper and producer known for his work with No Limit Records in the late 1990s and collaborations with artists like Snoop Dogg.
  • E. Demogorgon
    Demogorgon is a terrifying predatory monster from the Upside Down in the TV series "Stranger Things," known for its humanoid body and flower-like, tooth-filled head.
  • 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_69e0b50c6a848190a4e525a77a319b8a completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7235f77708190809d6aa3ee8056aa completed April 21, 2026, 7:12 a.m.
Created at: April 16, 2026, 2:57 p.m.