Triple

T13777315
Position Surface form Disambiguated ID Type / Status
Subject Vlado Meller E331042 entity
Predicate workedOn P3 FINISHED
Object Blood Sugar Sex Magik E490081 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: Blood Sugar Sex Magik | Statement: [Vlado Meller, workedOn, Blood Sugar Sex Magik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blood Sugar Sex Magik
Context triple: [Vlado Meller, workedOn, Blood Sugar Sex Magik]
  • A. Blood Sugar Sex Magik chosen
    Blood Sugar Sex Magik is a landmark 1991 funk rock album by the Red Hot Chili Peppers that propelled the band to mainstream success with its blend of rap, rock, and melodic ballads.
  • B. Big Sugar
    Big Sugar is a Canadian rock band known for its heavy, blues-influenced sound and fusion of rock, reggae, and dub styles.
  • C. This Sweet Sickness
    "This Sweet Sickness" is a psychological thriller novel by Patricia Highsmith that follows an obsessive, delusional man whose fixation on a lost love leads him into deception and violence.
  • D. Love Sex Magic
    "Love Sex Magic" is a 2009 R&B-pop single by Ciara featuring Justin Timberlake, known for its sultry sound and dance-focused music video.
  • E. Hot Sugar
    Hot Sugar is an experimental electronic music producer known for creating textured, sample-based compositions often built from unconventional found sounds.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0238bdbc8190a946e6e5431632a5 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a86c9ff88190a2e4f6aa907f2eba completed May 3, 2026, 7:56 p.m.
Created at: April 9, 2026, 10:10 p.m.