Triple

T9396785
Position Surface form Disambiguated ID Type / Status
Subject Venus and Mars E226161 entity
Predicate hasCoverArtBy P5936 FINISHED
Object Hipgnosis E225579 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: Hipgnosis | Statement: [Venus and Mars, hasCoverArtBy, Hipgnosis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hipgnosis
Context triple: [Venus and Mars, hasCoverArtBy, Hipgnosis]
  • A. Hipgnosis chosen
    Hipgnosis was a pioneering British art design group best known for creating surreal, concept-driven album covers for major rock bands in the 1960s and 1970s.
  • B. Mosley Music Group
    Mosley Music Group is an American record label founded by producer Timbaland, known for releasing influential hip-hop and R&B music.
  • C. Cambridge Sound Management
    Cambridge Sound Management is an audio technology company best known for its sound masking and acoustic privacy solutions used in offices and commercial environments.
  • D. Prolific Music Group
    Prolific Music Group is a music record label known for releasing contemporary Christian and faith-based music projects.
  • E. Muse Records
    Muse Records was an American jazz record label known for its extensive catalog of hard bop, post-bop, and avant-garde recordings from the 1970s and 1980s.
  • 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_69ca842f7e3481908bf5bcf52e032dbd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd51528b2481908ca1f1840d2594b4 completed April 1, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107949fe4819089f68a2c368af82f completed April 4, 2026, 12:44 p.m.
Created at: March 30, 2026, 7:46 p.m.