Triple

T18831101
Position Surface form Disambiguated ID Type / Status
Subject Happy Hour E460529 entity
Predicate hasSingle P3282 FINISHED
Object Livin’ The Dream NE NERFINISHED

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: Livin’ The Dream | Statement: [Happy Hour, hasSingle, Livin’ The Dream]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Livin’ The Dream
Context triple: [Happy Hour, hasSingle, Livin’ The Dream]
  • A. Livin’ The Dream chosen
    Livin’ The Dream is a segment or feature within the show Happy Hour, likely focused on lighthearted, aspirational, or lifestyle-oriented content.
  • B. Living the Dream
    "Living the Dream" is a contemporary novel by Irish author Kate Thompson, known for its humorous and heartfelt exploration of modern relationships and personal aspirations.
  • C. Living the Dream
    Living the Dream is a British comedy-drama television series starring Lesley Sharp that follows a family who relocates from the UK to run a trailer park in Florida.
  • D. Livin’ in a Dream
    "Livin’ in a Dream" is a song by the Canadian indie rock band Islands.
  • E. One Dream
    One Dream is a component of the Beijing 2008 Olympic Games slogan "One World, One Dream," expressing a shared aspiration for unity and harmony among people worldwide.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a9992bb081908ba517a5c9d93ef3 completed April 20, 2026, 4:20 a.m.
Created at: April 10, 2026, 11:56 a.m.