Triple

T5139695
Position Surface form Disambiguated ID Type / Status
Subject Hedy Lamarr E115913 entity
Predicate notableWork P4 FINISHED
Object Boom Town E72143 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: Boom Town | Statement: [Hedy Lamarr, notableWork, Boom Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boom Town
Context triple: [Hedy Lamarr, notableWork, Boom Town]
  • A. Boom Town chosen
    Boom Town is a 1940 American drama film about rival wildcat oil drillers, starring Clark Gable alongside Spencer Tracy, Claudette Colbert, and Hedy Lamarr.
  • B. Boomtown
    Boomtown is an American television crime drama series that presents interconnected stories from multiple characters' perspectives.
  • C. Mob Town
    Mob Town is a historic nickname for the city of Baltimore, reflecting its long-standing reputation for civil unrest and rowdy public gatherings in the 19th century.
  • D. Red Town
    Red Town is a historical region associated with the settlement of Krasnaya Sloboda, known for its cultural and regional significance.
  • E. B-Town
    B-Town is a common nickname for Bloomington, Indiana, a vibrant Midwestern college city best known as the home of Indiana University.
  • 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_69bd44459a988190a772a5c2ec6a1965 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd787ce7fc8190844b6078755cddad completed March 20, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec4d637f48190b825bc21d3776307 completed March 21, 2026, 4:18 p.m.
Created at: March 20, 2026, 1:43 p.m.