Triple

T9724580
Position Surface form Disambiguated ID Type / Status
Subject Sharon Leal E235571 entity
Predicate notableWork P4 FINISHED
Object The Good Doctor E154800 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 Good Doctor | Statement: [Sharon Leal, notableWork, The Good Doctor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Good Doctor
Context triple: [Sharon Leal, notableWork, The Good Doctor]
  • A. The Good Doctor chosen
    The Good Doctor is an American medical drama television series that follows a young surgeon with autism and savant syndrome as he navigates personal and professional challenges at a prestigious hospital.
  • B. The Good Doctor (2011 film)
    The Good Doctor (2011 film) is a psychological thriller about an ambitious young physician whose obsession with a teenage patient leads him down a dark and unethical path.
  • C. The Knick
    The Knick is a period medical drama television series set in an early 1900s New York hospital, known for its gritty portrayal of surgical innovation, addiction, and social issues.
  • D. The Knick
    The Knick is a multi-purpose indoor arena in Albany, New York, best known as the longtime home of the Albany Empire and various major concerts and sporting events.
  • E. Doctores
    Doctores is a Mexico City Metro station on Line 8 serving the Doctores neighborhood near the city center.
  • 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_69ca84d0123c819096f9dc3b6abb0881 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e77096481908ffd315fecb1d5ec completed April 1, 2026, 10:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19faa064081909c1d23044984a17c completed April 4, 2026, 11:32 p.m.
Created at: March 30, 2026, 8:21 p.m.