Triple

T22287621
Position Surface form Disambiguated ID Type / Status
Subject Michael Hutchence E550903 entity
Predicate notableSong P4 FINISHED
Object Suicide Blonde 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: Suicide Blonde | Statement: [Michael Hutchence, notableSong, Suicide Blonde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suicide Blonde
Context triple: [Michael Hutchence, notableSong, Suicide Blonde]
  • A. Suicide Blonde chosen
    "Suicide Blonde" is a 1990 rock song by Australian band INXS, known for its distinctive harmonica riff and success as a major international hit single.
  • B. The Suicide Song
    "The Suicide Song" is a track from Aretha Franklin's 2003 album *So Damn Happy*, blending soulful vocals with introspective, emotionally charged lyrics.
  • C. Virgin Killer
    Virgin Killer is a 1976 studio album by German hard rock band Scorpions, known for its aggressive sound and controversial original cover art.
  • D. Screaming Suicide
    "Screaming Suicide" is a song by American heavy metal band Metallica from their 2023 album *72 Seasons*, addressing themes of mental health and suicidal thoughts.
  • E. Born to Kill
    Born to Kill is a 1947 American film noir crime drama known for its dark, violent storyline and morally corrupt characters.
  • 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_69e11e44d538819097c6b8f333af3352 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1560896348190985725ac8ad406b3 completed April 29, 2026, 12:51 a.m.
Created at: April 16, 2026, 8:40 p.m.