Triple

T22257318
Position Surface form Disambiguated ID Type / Status
Subject Jake Bugg E550125 entity
Predicate album P1995 FINISHED
Object On My One NE NERFINISHED

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: On My One | Statement: [Jake Bugg, album, On My One]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: On My One
Context triple: [Jake Bugg, album, On My One]
  • A. On My One chosen
    On My One is a studio album by English singer-songwriter Jake Bugg that blends indie rock, folk, and blues influences with a more introspective, self-produced sound.
  • B. On My Love
    "On My Love" is a dance-pop song by Swedish singer Zara Larsson, known for its uplifting, emotional lyrics and club-ready production.
  • C. One Me
    "One Me" is a musical track featured on the TP-2.com album by R&B artist R. Kelly.
  • D. Only One
    "Only One" is a song by Canadian singer-songwriter Jessie Reyez that showcases her raw, emotional vocal style and confessional lyricism.
  • E. The One I Love
    The One I Love is a 2014 American surreal romantic dramedy film starring Mark Duplass and Elisabeth Moss, centered on a troubled couple whose weekend retreat takes an unexpectedly bizarre turn.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e42adb8819087714772ea606709 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f138c3cf64819087e270a1f50e629e completed April 28, 2026, 10:46 p.m.
Created at: April 16, 2026, 8:39 p.m.