Triple

T19250336
Position Surface form Disambiguated ID Type / Status
Subject Jalyn Hall E481371 entity
Predicate appearedIn P795 FINISHED
Object All Day and a Night E1076194 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 Day and a Night | Statement: [Jalyn Hall, appearedIn, All Day and a Night]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: All Day and a Night
Context triple: [Jalyn Hall, appearedIn, All Day and a Night]
  • A. 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.
  • B. All Day and a Night chosen
    All Day and a Night is a 2020 American crime drama film that follows a young man’s journey through violence, family legacy, and the prison system in Oakland, California.
  • C. All Day All Night
    "All Day All Night" is a song featured on the 1988 Bobby Brown R&B album "Don't Be Cruel."
  • D. 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.
  • E. 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.
  • 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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb3001308190913e24343769be8d completed April 20, 2026, 10:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0705e2d3948190b1ff731f648f68c7 completed May 15, 2026, 11:39 a.m.
Created at: April 10, 2026, 1:27 p.m.