Triple

T10848181
Position Surface form Disambiguated ID Type / Status
Subject Eric Dane E256070 entity
Predicate portrayedIn P626 FINISHED
Object Grey's Anatomy E32966 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: Grey's Anatomy | Statement: [Eric Dane, portrayedIn, Grey's Anatomy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grey's Anatomy
Context triple: [Eric Dane, portrayedIn, Grey's Anatomy]
  • A. Grey’s Anatomy chosen
    Grey’s Anatomy is a long-running American medical drama television series that follows the personal and professional lives of surgical interns, residents, and attendings at a fictional Seattle hospital.
  • B. 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."
  • C. Gray's Anatomy
    Gray's Anatomy is a classic and influential medical textbook that provides comprehensive, detailed illustrations and descriptions of human anatomy.
  • D. E.R.
    E.R. is a long-running American medical drama television series set in a Chicago hospital, known for its fast-paced storytelling and ensemble cast.
  • E. St. Elsewhere
    St. Elsewhere is an acclaimed 1980s American medical drama television series known for its ensemble cast, gritty realism, and influential storytelling.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75114ca988190a0e730131adb2df0 completed April 9, 2026, 7:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7cc0d648190afb0ce80bac7f3dc completed April 15, 2026, 8:40 p.m.
Created at: April 8, 2026, 9:20 p.m.