Triple

T11498663
Position Surface form Disambiguated ID Type / Status
Subject Marilyn Bergman E272607 entity
Predicate notableWork P4 FINISHED
Object Nice ’n’ Easy E577637 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: Nice ’n’ Easy | Statement: [Marilyn Bergman, notableWork, Nice ’n’ Easy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nice ’n’ Easy
Context triple: [Marilyn Bergman, notableWork, Nice ’n’ Easy]
  • A. Nice ’n’ Easy chosen
    Nice ’n’ Easy is a popular song with lyrics by Alan and Marilyn Bergman, best known through Frank Sinatra’s smooth, laid-back 1960 recording.
  • B. Make It Easy on Yourself
    "Make It Easy on Yourself" is a classic pop ballad, originally a 1960s hit written by Burt Bacharach and Hal David and covered by numerous artists including Cissy Houston.
  • C. Easy Come, Easy Go
    "Easy Come, Easy Go" is a song featured on the album "Wanderland" by American singer-songwriter Kelis.
  • D. Easy Come, Easy Go
    "Easy Come, Easy Go" is a 1947 American comedy film featuring Geraldine Fitzgerald in a leading role.
  • E. Easy Come, Easy Go
    Easy Come, Easy Go is a 1967 musical comedy film starring Elvis Presley as a Navy frogman who becomes entangled in a search for sunken treasure.
  • 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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85de27db081909ccdb4ab0ef75bdb completed April 10, 2026, 2:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69e604aa9e3c8190ad86e4d05a67c8ac completed April 20, 2026, 10:49 a.m.
Created at: April 8, 2026, 9:36 p.m.