Triple

T14043515
Position Surface form Disambiguated ID Type / Status
Subject A Mouthful E337901 entity
Predicate performer P1363 FINISHED
Object The Dø E337901 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: The Dø | Statement: [A Mouthful, performer, The Dø]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Dø
Context triple: [A Mouthful, performer, The Dø]
  • A. The Dø chosen
    The Dø is a French-Finnish indie pop band known for its eclectic sound blending experimental rock, folk, and electronic influences.
  • B. Dunbeg
    Dunbeg is a small coastal village in Argyll and Bute on Scotland’s west coast, known for its proximity to Oban and its scenic Highland surroundings.
  • C. La Roux
    La Roux is an English synth-pop act best known for its distinctive falsetto vocals and hit singles like "Bulletproof" and "In for the Kill."
  • D. Tove Lo
    Tove Lo is a Swedish singer-songwriter and pop artist known for her candid, emotionally raw lyrics and hits like "Habits (Stay High)."
  • E. Cristina Vee
    Cristina Vee is an American voice actress known for her work in anime, video games, and animation, including prominent roles in series like "Miraculous Ladybug" and "Sailor Moon."
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de312b94308190bd0961f5bc719c7b completed April 14, 2026, 12:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc33f79a88190999978d7f34632cd completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:20 p.m.