Triple

T21746974
Position Surface form Disambiguated ID Type / Status
Subject Foxy Brown E536813 entity
Predicate associatedAct P37 FINISHED
Object Total 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: Total | Statement: [Foxy Brown, associatedAct, Total]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Total
Context triple: [Foxy Brown, associatedAct, Total]
  • A. Total chosen
    Total is an American R&B girl group best known for their 1990s hits and frequent collaborations with Bad Boy Records artists.
  • B. Total
    Total is the former name of TotalEnergies, a major French multinational oil and gas company that has expanded into broader energy sectors.
  • C. Total
    "Total" is a punk rock album by the American band Teenage Bottlerocket, showcasing their fast, melodic, and humor-tinged style.
  • D. Total (album)
    Total is the self-titled debut studio album by the American R&B girl group Total, known for its mid-1990s blend of hip hop soul and contemporary R&B.
  • E. Tutto
    Tutto is a major conceptual artwork by Italian artist Alighiero Boetti, consisting of densely packed, brightly colored embroidered shapes that collectively form an all-encompassing visual mosaic.
  • 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_69e0c46df5448190b4322127ffc4c690 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01a771b908190886cade242e263e4 completed April 28, 2026, 2:24 a.m.
Created at: April 16, 2026, 6:49 p.m.