Triple

T10810184
Position Surface form Disambiguated ID Type / Status
Subject Ira Levin E255076 entity
Predicate wrote P2831 FINISHED
Object This Perfect Day E887345 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: This Perfect Day | Statement: [Ira Levin, wrote, This Perfect Day]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: This Perfect Day
Context triple: [Ira Levin, wrote, This Perfect Day]
  • A. This Perfect Day chosen
    This Perfect Day is a dystopian science fiction novel by Ira Levin that portrays a tightly controlled, computer-governed world where individuality and freedom are systematically suppressed.
  • B. A Perfect Day
    A Perfect Day is a 2015 drama-comedy film set during the Balkan conflict, following aid workers navigating the absurdities and moral dilemmas of war.
  • C. A Perfect Day
    "A Perfect Day" is a well-known sentimental poem by American poet Ina Coolbrith, often remembered for its gentle, reflective celebration of nature and contentment.
  • D. Perfect Day
    Perfect Day is a song featured on the album "Wanderland" by American singer-songwriter Kelis.
  • E. The Best Day
    "The Best Day" is a nostalgic country-pop song by Taylor Swift that reflects on her childhood memories and close relationship with her mother.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733b6efc48190bb64b5a8fac843c4 completed April 9, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb0ea2b6481909dfd94fe0c3c4499 completed April 14, 2026, 9:26 p.m.
Created at: April 8, 2026, 9:18 p.m.