Triple

T16687135
Position Surface form Disambiguated ID Type / Status
Subject David Marvin Blake E405491 entity
Predicate notableWork P4 FINISHED
Object Safe + Sound E331436 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: Safe + Sound | Statement: [David Marvin Blake, notableWork, Safe + Sound]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Safe + Sound
Context triple: [David Marvin Blake, notableWork, Safe + Sound]
  • A. Safe + Sound chosen
    Safe + Sound is a 1995 West Coast hip hop album by DJ Quik that showcases his signature G-funk production and laid-back, funk-infused style.
  • B. Safe + Sound (song)
    "Safe + Sound" is a 2013 indie pop song by American duo Capital Cities, best known for its catchy melody and widespread commercial success.
  • C. Safe and Sound
    "Safe and Sound" is a song by American country duo Florida Georgia Line from their album "Anything Goes."
  • D. The Sound Factory
    The Sound Factory is a renowned Los Angeles recording studio known for hosting sessions by prominent jazz and rock artists, including Charles Mingus.
  • E. Soundgasm
    Soundgasm is a popular Afrobeats song by Nigerian artist Rema, known for its sensual lyrics and smooth, melodic production.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ea63b7081908a055036172f9683 completed April 18, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a45af7c8190bfe09dd0e0573573 completed May 10, 2026, 1:38 p.m.
Created at: April 10, 2026, 5:19 a.m.