Triple

T1627459
Position Surface form Disambiguated ID Type / Status
Subject Getting Out Our Dreams E35178 entity
Predicate hasNotableArtist P2487 FINISHED
Object Kacy Hill E36191 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: Kacy Hill | Statement: [Getting Out Our Dreams, hasNotableArtist, Kacy Hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kacy Hill
Context triple: [Getting Out Our Dreams, hasNotableArtist, Kacy Hill]
  • A. Kacy Hill chosen
    Kacy Hill is an American singer-songwriter and model known for her ethereal pop and R&B-influenced music and for being one of the early artists signed to Kanye West’s GOOD Music label.
  • B. Jane Hanson
    Jane Hanson is a British academic leader who serves as the ceremonial head (Chancellor) of the University of Leeds.
  • C. Brooke Lierman
    Brooke Lierman is an American politician and attorney who serves as Maryland’s statewide elected comptroller, overseeing the state’s fiscal operations and tax collection.
  • D. Gwen Moore
    Gwen Moore is an American politician serving as a Democratic U.S. Representative from Wisconsin.
  • E. Kira Snyder
    Kira Snyder is an American television and film writer known for her work on projects such as Pacific Rim: Uprising and the acclaimed series The Handmaid’s Tale.
  • 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_69a886023194819080a3fccd6e325d0e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa622ca9bc8190b99e90295cb01646 completed March 6, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad6810e09c81909a214d16d865646a completed March 8, 2026, 12:14 p.m.
Created at: March 4, 2026, 7:28 p.m.