Triple

T7288808
Position Surface form Disambiguated ID Type / Status
Subject Bad Girls E163940 entity
Predicate hasPart P35 FINISHED
Object All Through the Night E506399 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: All Through the Night | Statement: [Bad Girls, hasPart, All Through the Night]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: All Through the Night
Context triple: [Bad Girls, hasPart, All Through the Night]
  • A. All Through the Night
    All Through the Night is a 1942 wartime comedy-thriller film starring Humphrey Bogart as a New York gambler who uncovers a Nazi spy ring.
  • B. All Through the Night
    All Through the Night is a mystery novel by Mary Higgins Clark featuring her recurring amateur sleuths Alvirah and Willy Meehan.
  • C. All Through the Night chosen
    "All Through the Night" is a 1983 pop ballad popularized by Cyndi Lauper, known for its dreamy synth-driven sound and emotional vocals.
  • D. Tonight's the Night
    "Tonight's the Night" is a 1975 album by Neil Young, renowned for its raw, emotionally stark songs reflecting on loss and the darker side of the rock lifestyle.
  • E. All Day and a Night
    All Day and a Night is a crime thriller novel by Alafair Burke featuring a complex murder case that intertwines past and present investigations.
  • 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_69c6886093b88190a254b1ce6db8bae7 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb6bde448190b52852c916a8059d completed March 27, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db4671e08190874d5e099e883509 completed March 28, 2026, 1:44 p.m.
Created at: March 27, 2026, 3 p.m.