Triple

T14129438
Position Surface form Disambiguated ID Type / Status
Subject Poetic Justice: Music from the Motion Picture E340121 entity
Predicate performer P1363 FINISHED
Object SWV E492582 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: SWV | Statement: [Poetic Justice: Music from the Motion Picture, performer, SWV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SWV
Context triple: [Poetic Justice: Music from the Motion Picture, performer, 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. SW
    SW is the vehicle registration code used on license plates for vehicles registered in the Schweinfurt district of Germany.
  • E. SWPA
    SWPA is a U.S. federal agency that markets and transmits hydroelectric power generated at federally owned dams in the southwestern region of the country.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de610aa434819096671c5aabb9134a completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf0ed0a88190a7126887364fccdd completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:23 p.m.