Triple

T3138224
Position Surface form Disambiguated ID Type / Status
Subject Bruno Mars E65582 entity
Predicate producerOf P490 FINISHED
Object Finesse E329495 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: Finesse | Statement: [Bruno Mars, producerOf, Finesse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Finesse
Context triple: [Bruno Mars, producerOf, Finesse]
  • A. Finesse chosen
    "Finesse" is a retro-inspired R&B and new jack swing song by Bruno Mars, widely recognized for its 1990s aesthetic and popular remix featuring Cardi B.
  • B. Fancy
    "Fancy" is a hip-hop track by American producer and rapper Swizz Beatz, known for its energetic production and club-oriented sound.
  • C. Weave
    Weave is Google's Internet of Things (IoT) communication platform designed to let smart devices easily discover, connect, and work together across different ecosystems.
  • D. Fulcrum
    Fulcrum is the NATO reporting name for the Soviet-designed Mikoyan MiG-29, a highly maneuverable fourth-generation multirole fighter aircraft.
  • E. Sway
    Sway is a tiling Wayland compositor and window manager designed as a drop-in, i3-compatible replacement for X11-based setups.
  • 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_69ad8581c25c8190b0d85ba9b9baa531 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada574509c81908a88bb10ea35516d completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235b2aa388190ae9dc569b951206d completed March 12, 2026, 3:40 a.m.
Created at: March 8, 2026, 3:05 p.m.