Triple

T7396335
Position Surface form Disambiguated ID Type / Status
Subject Leslie Uggams E170630 entity
Predicate notableWork P4 FINISHED
Object Empire E26334 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: Empire | Statement: [Leslie Uggams, notableWork, Empire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Empire
Context triple: [Leslie Uggams, notableWork, Empire]
  • A. Empire chosen
    Empire is a popular American musical drama television series that follows the power struggles and family dynamics within a hip-hop music and entertainment company.
  • B. Empire
    Empire is Andy Warhol’s 1964 avant-garde experimental film consisting of an extended, stationary shot of the Empire State Building, notable for its extreme duration and minimalist style.
  • C. Empire
    Empire is a small unincorporated community located in Stanislaus County in California’s Central Valley.
  • D. Empire
    Empire is a post-exploitation and command-and-control framework commonly used for penetration testing and red team operations.
  • E. Empire
    "Empire" is a song by the Icelandic indie folk/pop band Of Monsters and Men, known for its atmospheric sound and evocative storytelling.
  • 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_69c68a5f04188190ac266569c9280347 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f248f79c819094b1d1e2c3d511d1 completed March 27, 2026, 9:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81101dd448190bcf221f7625c9d34 completed March 28, 2026, 5:33 p.m.
Created at: March 27, 2026, 3:09 p.m.