Triple

T23264526
Position Surface form Disambiguated ID Type / Status
Subject DeVante Swing E582107 entity
Predicate associatedAct P37 FINISHED
Object Sista 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: Sista | Statement: [DeVante Swing, associatedAct, Sista]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sista
Context triple: [DeVante Swing, associatedAct, Sista]
  • A. Sista chosen
    Sista was a 1990s American R&B girl group best known for launching the early career of rapper and producer Missy Elliott.
  • B. Lasta
    Lasta is a historic region in northern Ethiopia that served as the political and cultural heartland of the medieval Zagwe dynasty.
  • C. Toinette
    Toinette is the sharp-witted, outspoken maid in Molière’s comedy "Le Malade imaginaire," known for her clever schemes and satirical commentary on her hypochondriac master.
  • D. Sistas
    Sistas is an American television series created by Tyler Perry that follows a group of single Black women navigating careers, friendships, and relationships.
  • E. Kusaila
    Kusaila was a 7th-century Berber Christian leader and military commander who led resistance against the early Muslim expansion in North Africa.
  • 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_69e246079f58819085eaa9c260906880 completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f194cb76c48190869915cd93b44fcc completed April 29, 2026, 5:19 a.m.
Created at: April 17, 2026, 4:11 p.m.