Triple

T6125551
Position Surface form Disambiguated ID Type / Status
Subject The Wiz Live! E136585 entity
Predicate starring P1507 FINISHED
Object Queen Latifah E68449 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: Queen Latifah | Statement: [The Wiz Live!, starring, Queen Latifah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Queen Latifah
Context triple: [The Wiz Live!, starring, Queen Latifah]
  • A. Queen Latifah chosen
    Queen Latifah is an American rapper, singer, actress, and producer known as one of the pioneering women in hip-hop and a prominent figure in film and television.
  • B. Mary J. Blige
    Mary J. Blige is an American singer, songwriter, and actress widely known as the "Queen of Hip-Hop Soul" for her influential blend of R&B, soul, and hip-hop.
  • C. San Monique
    San Monique is a fictional Caribbean island nation in the James Bond universe, prominently featured as Dr. Kananga’s stronghold in the film "Live and Let Die."
  • D. Keisha Spivey
    Keisha Spivey is an American R&B singer best known as a member of the 1990s girl group Total, which was signed to Sean "Diddy" Combs' Bad Boy Records.
  • E. Keisha Morris
    Keisha Morris is an American woman best known for her brief marriage to iconic rapper and actor Tupac Shakur in the mid-1990s.
  • 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_69c008a0a37c81908e5b4f879158afb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c28dbbc8190a0a0c20ec794e81a completed March 22, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135b2500c8190aaf67b059ccbe3f1 completed March 23, 2026, 12:44 p.m.
Created at: March 22, 2026, 4:14 p.m.