Triple

T7754560
Position Surface form Disambiguated ID Type / Status
Subject Imagine E175857 entity
Predicate hasCoverVersionBy P11142 FINISHED
Object Lady Gaga E40359 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: Lady Gaga | Statement: [Imagine, hasCoverVersionBy, Lady Gaga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lady Gaga
Context triple: [Imagine, hasCoverVersionBy, Lady Gaga]
  • A. Lady Gaga chosen
    Lady Gaga is an American singer, songwriter, and actress known for her powerful vocals, theatrical performances, and influence on contemporary pop music and fashion.
  • B. Gaga
    Gaga is a musical group that featured innovative guitarist and songwriter Adrian Belew as a member.
  • C. Stefani Germanotta
    Stefani Germanotta, better known by her stage name Lady Gaga, is an American singer, songwriter, and actress renowned for her powerful vocals, provocative artistry, and boundary-pushing pop music.
  • D. Madonna
    Madonna is a central figure in Christianity revered as the mother of Jesus Christ and a symbol of purity, compassion, and maternal devotion.
  • E. Madonna
    Madonna is an American pop icon, singer, songwriter, and actress widely known as the "Queen of Pop" for her influential, boundary-pushing work in music and popular culture since the 1980s.
  • 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_69c6996180088190832e38e8d83ff54a completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703d851d4819091e9117d3f34cb9a completed March 27, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be5dbf5881908d07d70c8ae061a5 completed March 29, 2026, 5:53 a.m.
Created at: March 27, 2026, 4:08 p.m.