Triple

T9059556
Position Surface form Disambiguated ID Type / Status
Subject Neon Bible E217086 entity
Predicate follows P134 FINISHED
Object Funeral E217085 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: Funeral | Statement: [Neon Bible, follows, Funeral]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Funeral
Context triple: [Neon Bible, follows, Funeral]
  • A. Funeral
    "Funeral" is a 2020 studio album by American rapper Lil Wayne that showcases his rapid-fire lyricism over a diverse range of modern trap and melodic production.
  • B. Funeral chosen
    "Funeral" is the critically acclaimed 2004 debut studio album by Canadian indie rock band Arcade Fire, known for its emotional intensity and orchestral, anthemic sound.
  • C. The Funeral
    "The Funeral" is a 1701 comedic play by Richard Steele that helped establish his reputation in early 18th-century English drama.
  • D. The Funeral
    "The Funeral" is a track from Swizz Beatz's debut studio album "One Man Band Man," showcasing his signature production style and energetic hip-hop sound.
  • E. Death at a Funeral
    Death at a Funeral is a 2007 British black comedy film centered on a dysfunctional family gathering for a chaotic and farcical funeral.
  • 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_69ca83d4425481909a319dab847724ec completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc7eca6d8c8190b1a11a60d6649f78 completed April 1, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d02fe00980819082571eccb608d605 completed April 3, 2026, 9:23 p.m.
Created at: March 30, 2026, 7:10 p.m.