Triple

T17090039
Position Surface form Disambiguated ID Type / Status
Subject Greg Yaitanes E414698 entity
Predicate directed P7373 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: [Greg Yaitanes, directed, Grey's Anatomy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grey's Anatomy
Context triple: [Greg Yaitanes, directed, 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. Gray's Anatomy
    Gray's Anatomy is a 1996 monologue film written and performed by Spalding Gray, in which he humorously and introspectively recounts his experiences dealing with an eye condition and exploring both conventional and alternative medical treatments.
  • E. 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.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbf948d88190a4dd4a0774a8505b completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0139fa0a288190af69201ec88ec3c6 completed May 11, 2026, 2:07 a.m.
Created at: April 10, 2026, 5:35 a.m.