Triple

T5333852
Position Surface form Disambiguated ID Type / Status
Subject Without You in My Life E123376 entity
Predicate includedOnAlbum P1995 FINISHED
Object Give Me the Night E240572 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: Give Me the Night | Statement: [Without You in My Life, includedOnAlbum, Give Me the Night]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Give Me the Night
Context triple: [Without You in My Life, includedOnAlbum, Give Me the Night]
  • A. Give Me the Night chosen
    "Give Me the Night" is a 1980 jazz-funk and R&B hit song by George Benson, produced by Quincy Jones and widely regarded as one of his signature tracks.
  • B. Another Night
    "Another Night" is a song featured on the album "What About Me."
  • C. Beautiful Night
    "Beautiful Night" is a melodic, romantic ballad by Paul McCartney, featured on his 1997 album "Flaming Pie."
  • D. Tonight and Every Night
    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.
  • E. We Own the Night
    We Own the Night is a 2007 American crime drama film about a New York City nightclub manager caught between his family of police officers and the Russian mob.
  • 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_69bd46477f9081909d242a327d749466 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85ae52c08190968a5567b7e6b794 completed March 20, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21bebea0819083e6deae67f3e834 completed March 21, 2026, 10:54 p.m.
Created at: March 20, 2026, 2 p.m.