Triple

T23293735
Position Surface form Disambiguated ID Type / Status
Subject Vincent Van Patten E590104 entity
Predicate actedIn P1668 FINISHED
Object Medical Center NE NERFINISHED

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: Medical Center | Statement: [Vincent Van Patten, actedIn, Medical Center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Medical Center
Context triple: [Vincent Van Patten, actedIn, Medical Center]
  • A. Medical Center chosen
    Medical Center is an American television medical drama series that aired from 1969 to 1976, focusing on the professional and personal challenges of doctors at a university hospital.
  • B. Medical Institute
    Medical Institute is the former name of a higher education institution that evolved into a full-fledged medical university.
  • C. Medical Center Campus
    Medical Center Campus is Georgetown University's dedicated hub for medical education, clinical training, and biomedical research.
  • D. Mon Health Medical Center
    Mon Health Medical Center is a regional, non-profit acute care hospital and healthcare hub serving Morgantown and the surrounding communities in north-central West Virginia.
  • E. International Health Care Center
    The International Health Care Center is a specialized unit of Severance Hospital that provides comprehensive medical services and support tailored to international patients.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e25d1af9d88190a0b9b5e8fa608618 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f196ccd9b481909ab5d3504640025e completed April 29, 2026, 5:27 a.m.
Created at: April 17, 2026, 5:02 p.m.