Triple

T14402973
Position Surface form Disambiguated ID Type / Status
Subject A Lady Comes to Burkburnett E357116 entity
Predicate inspiredWork P1994 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: [A Lady Comes to Burkburnett, inspiredWork, Boom Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boom Town
Context triple: [A Lady Comes to Burkburnett, inspiredWork, 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. Boomtown
    "Boomtown" is a song featured on the bluegrass album "Tell the Ones I Love" by the Steep Canyon Rangers.
  • D. 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.
  • E. Red Town
    Red Town is a historical region associated with the settlement of Krasnaya Sloboda, known for its cultural and regional significance.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90860ae481908e175decda8624d5 completed April 14, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5520c07c8190bfdaf224dd779ced completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:17 a.m.