Triple

T21104010
Position Surface form Disambiguated ID Type / Status
Subject Stop all the clocks E519990 entity
Predicate alsoKnownAs P39 FINISHED
Object Funeral Blues 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: Funeral Blues | Statement: [Stop all the clocks, alsoKnownAs, Funeral Blues]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Funeral Blues
Context triple: [Stop all the clocks, alsoKnownAs, Funeral Blues]
  • A. Funeral Blues chosen
    "Funeral Blues" is a famous elegiac poem by W. H. Auden that poignantly expresses grief and the devastation of losing a loved one.
  • B. Funeral Song
    "Funeral Song" is a rock track by Finnish band The Rasmus, known as one of their prominent early-2000s singles blending melancholic lyrics with melodic alternative rock.
  • C. Sad Cypress
    Sad Cypress is an Agatha Christie detective novel featuring Hercule Poirot investigating a complex murder entangled with themes of love, jealousy, and inheritance.
  • D. I felt a Funeral, in my Brain
    "I felt a Funeral, in my Brain" is a lyric poem by Emily Dickinson that vividly depicts psychological anguish and the disintegration of consciousness through the extended metaphor of an internal funeral.
  • E. A Funeral
    "A Funeral" is a somber interior painting by Danish artist Anna Ancher that reflects her characteristic use of light and color to depict everyday life in Skagen.
  • 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_69e0b508d8dc81909be940dafe36c8f7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e71b6050e481908a5e48b667ac1503 completed April 21, 2026, 6:38 a.m.
Created at: April 16, 2026, 2:53 p.m.