Triple

T15711623
Position Surface form Disambiguated ID Type / Status
Subject Natasha Liu Bordizzo E380851 entity
Predicate appearedIn P795 FINISHED
Object Day Shift E1062960 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: Day Shift | Statement: [Natasha Liu Bordizzo, appearedIn, Day Shift]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Day Shift
Context triple: [Natasha Liu Bordizzo, appearedIn, Day Shift]
  • A. Day Shift chosen
    Day Shift is a 2022 action-comedy vampire film starring Jamie Foxx as a blue-collar dad who secretly works as a vampire hunter in Los Angeles.
  • B. Shift-Work
    "Shift-Work" is a studio album by the English post-punk band The Fall, showcasing their distinctive, abrasive sound and Mark E. Smith's idiosyncratic lyrics.
  • C. Night Shift
    Night Shift is a 1982 comedy film directed by Ron Howard that helped establish Michael Keaton as a major comedic actor.
  • D. Night Shift
    "Night Shift" is a critically acclaimed indie rock song by American singer-songwriter Lucy Dacus, known for its emotionally raw lyrics and slow-building, cathartic arrangement.
  • E. Night Shift
    "Night Shift" is a 1978 collection of horror and suspense short stories by Stephen King that helped establish his reputation as a master of the genre.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f8f5d6081908243fa59b46b7c76 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff757f571881908015fe68df2a5e69 completed May 9, 2026, 5:57 p.m.
Created at: April 10, 2026, 4:45 a.m.