Triple

T5359427
Position Surface form Disambiguated ID Type / Status
Subject Sir Samuel Garth E102982 entity
Predicate authorOf P4244 FINISHED
Object The Dispensary E514110 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 Dispensary | Statement: [Sir Samuel Garth, authorOf, The Dispensary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Dispensary
Context triple: [Sir Samuel Garth, authorOf, The Dispensary]
  • A. The Dispensary chosen
    The Dispensary is a satirical poem by Sir Samuel Garth that mocks the medical establishment and the conflicts within the College of Physicians in late 17th-century England.
  • B. Dopesick
    Dopesick is a drama miniseries that explores the origins and devastating impact of the U.S. opioid crisis, focusing on the roles of pharmaceutical companies, doctors, and law enforcement.
  • C. Panacea
    Panacea is the Greek goddess of universal remedy and healing, associated with cures for all diseases.
  • D. The Hospital
    The Hospital is a 1971 satirical drama film that critiques the American medical system, starring George C. Scott as a beleaguered chief of medicine.
  • E. The Chemist
    The Chemist is a thriller novel by Stephenie Meyer that follows a former government interrogator on the run who is forced to use her lethal skills to survive.
  • 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_69bd43daa3e4819090b59d127db70e57 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd86330e4c8190b5452226886287b3 completed March 20, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf291c89c8819084b9305c3bddc3c0 completed March 21, 2026, 11:26 p.m.
Created at: March 20, 2026, 2:02 p.m.