Triple

T19453804
Position Surface form Disambiguated ID Type / Status
Subject Carmen Cuba E486683 entity
Predicate notableWork P4 FINISHED
Object The Laundromat 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: The Laundromat | Statement: [Carmen Cuba, notableWork, The Laundromat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Laundromat
Context triple: [Carmen Cuba, notableWork, The Laundromat]
  • A. The Laundromat chosen
    The Laundromat is a 2019 satirical drama film directed by Steven Soderbergh that explores the Panama Papers scandal and global financial corruption through interconnected stories.
  • B. Laundromat Blues
    "Laundromat Blues" is a classic electric blues song by guitarist and singer Albert King, showcasing his soulful vocals and distinctive, emotive guitar style.
  • C. Launder
    Launder is an English surname most notably associated with Frank Launder, a prominent British film director, producer, and screenwriter.
  • D. Ten Square Hotel
    Ten Square Hotel is a boutique hotel located in central Belfast, Northern Ireland, known for its stylish accommodations and proximity to key city landmarks.
  • E. Midnight Run
    Midnight Run is a mid-distance sled dog race event held in Michigan’s Upper Peninsula, often serving as a companion race to the longer UP 200.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6339407a08190a3e0213bfbb4df3d completed April 20, 2026, 2:09 p.m.
Created at: April 10, 2026, 1:38 p.m.