Triple

T8567858
Position Surface form Disambiguated ID Type / Status
Subject Living Proof E202851 entity
Predicate releaseContext P3290 FINISHED
Object Lucky Town era E40538 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: Lucky Town era | Statement: [Living Proof, releaseContext, Lucky Town era]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucky Town era
Context triple: [Living Proof, releaseContext, Lucky Town era]
  • A. Lucky Town chosen
    Lucky Town is a 1992 rock album by Bruce Springsteen that blends heartland rock with introspective, personal songwriting.
  • B. Boom Town
    Boom Town is a 1940 American drama film about rival wildcat oil drillers, starring Clark Gable alongside Spencer Tracy, Claudette Colbert, and Hedy Lamarr.
  • C. Toy Town
    Toy Town is the colorful, whimsical village setting in Enid Blyton’s Noddy stories, inhabited by living toys and other playful characters.
  • D. Sugar Town
    "Sugar Town" is a 1966 pop song by Nancy Sinatra, known for its light, whimsical style and catchy, laid-back melody.
  • 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_69ca8327b0a881908606ff860713964d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe9d5d4ac8190a4d74c88b872d0b7 completed March 31, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce897098388190a1d445978d97def3 completed April 2, 2026, 3:21 p.m.
Created at: March 30, 2026, 6:21 p.m.