Triple

T19111087
Position Surface form Disambiguated ID Type / Status
Subject Stefani Germanotta E467789 entity
Predicate notableWork P4 FINISHED
Object Bad Romance 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: Bad Romance | Statement: [Stefani Germanotta, notableWork, Bad Romance]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bad Romance
Context triple: [Stefani Germanotta, notableWork, Bad Romance]
  • A. Bad Romance chosen
    "Bad Romance" is a hit pop song by Lady Gaga, known for its dark, theatrical style and iconic music video.
  • B. Disturbia
    Disturbia is a 2007 thriller film about a troubled teenager under house arrest who becomes convinced his neighbor is a serial killer.
  • C. Bad Love
    "Bad Love" is a rock song best known as a hit single by Eric Clapton from his 1989 album Journeyman.
  • D. We Found Love
    "We Found Love" is a globally successful dance-pop and electronic music single by Rihanna featuring Calvin Harris, known for its euphoric production and themes of intense, tumultuous love.
  • E. Obsession
    Obsession is a 1976 psychological thriller film directed by Brian De Palma, known for its Hitchcockian style, themes of guilt and identity, and Bernard Herrmann’s haunting score.
  • 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e393bafc81908e35a0eba7b807a6 completed April 20, 2026, 8:28 a.m.
Created at: April 10, 2026, 12:04 p.m.