Triple

T19669284
Position Surface form Disambiguated ID Type / Status
Subject Human Nature E472288 entity
Predicate hasCoverVersionBy P11142 FINISHED
Object SWV 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: SWV | Statement: [Human Nature, hasCoverVersionBy, SWV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SWV
Context triple: [Human Nature, hasCoverVersionBy, SWV]
  • A. SWV chosen
    SWV (Sisters With Voices) is an American R&B girl group best known for their 1990s hits like "Weak," "Right Here/Human Nature," and "I'm So Into You."
  • B. SWV
    SWV is the IATA airport code for Severo-Kurilsk Airport, which serves the town of Severo-Kurilsk in Russia’s Kuril Islands.
  • C. SWU
    SWU is the commonly used abbreviation for Southwest University, a comprehensive higher education institution in China.
  • D. WSV
    WSV is the German Federal Waterways and Shipping Administration responsible for managing and maintaining the country’s federal waterways and ensuring safe and efficient shipping.
  • E. SW
    SW is the vehicle registration code used on license plates for vehicles registered in the Schweinfurt district of Germany.
  • 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6416ad1b481908d2890d8c21aac5c completed April 20, 2026, 3:08 p.m.
Created at: April 10, 2026, 1:45 p.m.