Triple

T22023116
Position Surface form Disambiguated ID Type / Status
Subject Vengeance (2022 film) E543890 entity
Predicate productionCompany P490 FINISHED
Object Divide/Conquer NE NERFINISHED

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: Divide/Conquer | Statement: [Vengeance (2022 film), productionCompany, Divide/Conquer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Divide/Conquer
Context triple: [Vengeance (2022 film), productionCompany, Divide/Conquer]
  • A. Divide/Conquer chosen
    Divide/Conquer is an American film and television production company known for backing independent, genre-bending projects across horror, thriller, and dark comedy.
  • B. Divide and Conquer
    "Divide and Conquer" is a World War II-era American propaganda documentary in the "Why We Fight" series that chronicles Nazi Germany’s invasion and subjugation of Western Europe.
  • C. Divide
    Divide is the third studio album by English singer-songwriter Ed Sheeran, featuring hit singles like "Shape of You" and "Castle on the Hill."
  • D. Divide
    Divide is a small unincorporated community located in Nolan County, Texas.
  • E. Being Division
    The Being Division is a section of the Ministry of Magic responsible for overseeing and managing relations with sentient magical beings such as goblins, house-elves, and werewolves.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127c9959481908da6bed356199f75 completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:23 p.m.