Triple

T11009102
Position Surface form Disambiguated ID Type / Status
Subject Tonight and Every Night E260200 entity
Predicate title P38 FINISHED
Object Tonight and Every Night E260200 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: Tonight and Every Night | Statement: [Tonight and Every Night, title, Tonight and Every Night]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tonight and Every Night
Context triple: [Tonight and Every Night, title, Tonight and Every Night]
  • A. Tonight and Every Night chosen
    Tonight and Every Night is a 1945 Technicolor musical film starring Rita Hayworth, set in wartime London and loosely inspired by the real-life Windmill Theatre.
  • B. Every Single Night
    "Every Single Night" is an introspective, avant-pop song by American singer-songwriter Fiona Apple, known for its intricate lyrics and unconventional musical structure.
  • C. Night After Night
    Night After Night is an album that serves as the subsequent release to I Came to Dance in the artist's discography.
  • D. Another Night
    "Another Night" is a song featured on the album "What About Me."
  • E. Beautiful Night
    "Beautiful Night" is a melodic, romantic ballad by Paul McCartney, featured on his 1997 album "Flaming Pie."
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7978810208190b8e2966ae67b6314 completed April 9, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69e37498b9fc8190860acede4f49ea4a completed April 18, 2026, 12:10 p.m.
Created at: April 8, 2026, 9:25 p.m.