Triple

T9578892
Position Surface form Disambiguated ID Type / Status
Subject Scrubs E231117 entity
Predicate hasSpinOff P7226 FINISHED
Object Scrubs: Med School E231117 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: Scrubs: Med School | Statement: [Scrubs, hasSpinOff, Scrubs: Med School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scrubs: Med School
Context triple: [Scrubs, hasSpinOff, Scrubs: Med School]
  • A. Scrubs chosen
    Scrubs is an American medical comedy-drama television series that follows the personal and professional lives of staff at the fictional Sacred Heart Hospital, blending humor with emotional storytelling.
  • B. Scrubs on Skates
    Scrubs on Skates is a classic Canadian children's sports novel by Scott Young that follows a young boy's journey through the challenges and excitement of ice hockey.
  • C. St. Elsewhere
    St. Elsewhere is an acclaimed 1980s American medical drama television series known for its ensemble cast, gritty realism, and influential storytelling.
  • D. Seattle Grace
    Seattle Grace is the fictional Seattle teaching hospital that serves as the primary setting for much of the medical drama series "Grey's Anatomy."
  • E. Doogie Howser, M.D.
    Doogie Howser, M.D. is an American television series about a teenage prodigy who becomes a licensed physician while navigating the challenges of adolescence.
  • 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_69ca848091c48190bc313d6620d09555 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99aece1081908287e03106de020f completed April 1, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1790fbfb88190b1d12f5ed3d4ef7e completed April 4, 2026, 8:48 p.m.
Created at: March 30, 2026, 8:05 p.m.