Triple

T7564335
Position Surface form Disambiguated ID Type / Status
Subject Dee Wallace E178872 entity
Predicate appearedIn P795 FINISHED
Object Cujo E507765 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: Cujo | Statement: [Dee Wallace, appearedIn, Cujo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cujo
Context triple: [Dee Wallace, appearedIn, Cujo]
  • A. Cujo chosen
    Cujo is a horror novel by Stephen King about a rabid dog terrorizing a small-town family.
  • B. The Dog
    The Dog is a nickname for Earl Simmons, better known as the influential American rapper and actor DMX.
  • C. The Dog Pound
    The Dog Pound is the passionate student cheering section known for creating an energetic home-ice atmosphere at Boston University Terriers men's hockey games.
  • D. A Boy and His Dog
    A Boy and His Dog is a post-apocalyptic science fiction novella best known for its darkly satirical portrayal of a telepathic bond between a boy and his dog as they struggle to survive in a devastated future America.
  • E. The Kennel
    The Kennel is the famously raucous home environment for Gonzaga University's men's basketball team, known for its intense crowd energy and strong home-court advantage.
  • 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_69c69f2f80288190b95cceb4da92ab2b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8fc6a408190abf363a29359e764 completed March 27, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8615c98808190a9dd598846a598b2 completed March 28, 2026, 11:16 p.m.
Created at: March 27, 2026, 3:50 p.m.