Triple

T8620716
Position Surface form Disambiguated ID Type / Status
Subject Scott Caan E204154 entity
Predicate directorOf P537 FINISHED
Object The Dog Problem E746850 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: The Dog Problem | Statement: [Scott Caan, directorOf, The Dog Problem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Dog Problem
Context triple: [Scott Caan, directorOf, The Dog Problem]
  • A. The Dog Problem chosen
    The Dog Problem is a 2006 independent comedy-drama film written and directed by Scott Caan about a struggling writer whose life changes after he buys a dog.
  • B. The Dogs
    The Dogs is a nickname commonly used for sports teams or groups whose mascots or identities are associated with dogs, often evoking toughness and loyalty.
  • C. The Dog
    The Dog is a nickname for Earl Simmons, better known as the influential American rapper and actor DMX.
  • D. What the Dog Saw
    What the Dog Saw is a collection of Malcolm Gladwell’s New Yorker essays that explores surprising insights into human behavior, decision-making, and everyday phenomena.
  • E. 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.
  • 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_69ca832ceab8819096e4a9f546695079 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc47167b188190b5d9a113db9b9511 completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecc92beb48190ad406f48e58d9d0c completed April 2, 2026, 8:07 p.m.
Created at: March 30, 2026, 6:26 p.m.