Triple

T12667486
Position Surface form Disambiguated ID Type / Status
Subject Matt Villa E302593 entity
Predicate workedOn P3 FINISHED
Object Daybreakers (2009 film) E625646 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: Daybreakers (2009 film) | Statement: [Matt Villa, workedOn, Daybreakers (2009 film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daybreakers (2009 film)
Context triple: [Matt Villa, workedOn, Daybreakers (2009 film)]
  • A. Daybreakers chosen
    Daybreakers is a 2009 science fiction horror film set in a dystopian future where vampires dominate the world and struggle with a dwindling human blood supply.
  • B. 30 Days of Night
    30 Days of Night is a 2007 horror film about a remote Alaskan town besieged by vampires during a month-long polar night.
  • C. Night Creatures
    "Night Creatures" is a late abstract expressionist painting by American artist Lee Krasner, reflecting her dynamic, gestural style and exploration of psychological intensity.
  • D. Dead Before Dawn 3D
    Dead Before Dawn 3D is a Canadian 3D horror-comedy film known for its campy tone and supernatural storyline involving cursed “zemons,” a mix of zombies and demons.
  • E. Vampires
    "Vampires" is a song featured on the album *Nightlife*, likely reflecting its dark, nocturnal themes.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96181c40481908f3e2717f5472b85 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6688bfc048190970d281e66c34cdc completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:20 p.m.