Triple

T15972843
Position Surface form Disambiguated ID Type / Status
Subject Chase E387366 entity
Predicate breed P14611 FINISHED
Object German Shepherd E496863 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: German Shepherd | Statement: [Chase, breed, German Shepherd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: German Shepherd
Context triple: [Chase, breed, German Shepherd]
  • A. German Shepherd chosen
    The German Shepherd is a large, intelligent, and versatile working dog breed renowned for its roles in police, military, and service work as well as a loyal family companion.
  • B. Dobermann
    Dobermann is a 1997 French action-crime film known for its hyper-stylized violence and anarchic portrayal of a gang of ruthless bank robbers.
  • C. Rottweiler
    The Rottweiler is a large, powerful working dog breed from Germany, known for its strength, loyalty, and use in guarding, protection, and police work.
  • D. Doberman Pinschers
    Doberman Pinschers are a medium-to-large, sleek and powerful dog breed known for their intelligence, loyalty, and frequent use as guard and protection dogs.
  • E. Sandweiler
    Sandweiler is a small town and commune in central Luxembourg, known for its proximity to Luxembourg City and its World War II military cemetery.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1572a8fd8819092ae1766324b1345 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe8afa288190838cb35b8a4fcf50 completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:54 a.m.