Triple

T13119100
Position Surface form Disambiguated ID Type / Status
Subject The Witch E311676 entity
Predicate cinematographyBy P1953 FINISHED
Object Jarin Blaschke E799543 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: Jarin Blaschke | Statement: [The Witch, cinematographyBy, Jarin Blaschke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jarin Blaschke
Context triple: [The Witch, cinematographyBy, Jarin Blaschke]
  • A. Jarin Blaschke chosen
    Jarin Blaschke is an American cinematographer best known for his stark, atmospheric black-and-white work on films like "The Lighthouse."
  • B. Michael Kube-McDowell
    Michael Kube-McDowell is an American science fiction author known for his novels, short stories, and contributions to major franchises such as Star Wars.
  • C. Rinde Eckert
    Rinde Eckert is an American playwright, composer, director, and performer known for his experimental, music-driven theater works that blend opera, drama, and performance art.
  • D. Topher Brink
    Topher Brink is a brilliant but morally conflicted programmer and neuroscientist in the TV series "Dollhouse," responsible for designing and overseeing the mind-wiping and imprinting technology used on the show's "dolls."
  • E. Kirby Reed
    Kirby Reed is a sharp-witted, horror-savvy teenager and fan-favorite character from the Scream film franchise.
  • 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98196e69081909111407ee3d9f08e completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eadcd7048190aa740262679e5bab completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 9:06 p.m.