Triple

T8567878
Position Surface form Disambiguated ID Type / Status
Subject Book of Dreams E202852 entity
Predicate partOf P40 FINISHED
Object Lucky Town 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 | Statement: [Book of Dreams, partOf, Lucky Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucky Town
Context triple: [Book of Dreams, partOf, Lucky Town]
  • A. Lucky Town chosen
    Lucky Town is a 1992 rock album by Bruce Springsteen that blends heartland rock with introspective, personal songwriting.
  • B. Lucky Man
    "Lucky Man" is a folk-influenced progressive rock song by Greg Lake, best known from Emerson, Lake & Palmer’s debut album and recognized for its distinctive Moog synthesizer solo.
  • C. Lucky That Way
    "Lucky That Way" is a song featured on the album "Blame the Vain" by American country musician Dwight Yoakam.
  • D. Lucky
    Lucky is a regional supermarket chain brand in the United States known for its neighborhood grocery stores and value-focused offerings.
  • E. Lucky
    Lucky is a bestselling novel by Jackie Collins that follows the glamorous, ruthless world of Lucky Santangelo in the high-stakes realms of power, sex, and crime.
  • 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_69cffd4c307881909996adedc959180f completed April 3, 2026, 5:47 p.m.
Created at: March 30, 2026, 6:21 p.m.