Triple

T23498980
Position Surface form Disambiguated ID Type / Status
Subject Annie Roland E571784 entity
Predicate fictionalUniverse P3758 FINISHED
Object Nurses (TV series) 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: Nurses (TV series) | Statement: [Annie Roland, fictionalUniverse, Nurses (TV series)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nurses (TV series)
Context triple: [Annie Roland, fictionalUniverse, Nurses (TV series)]
  • A. Nurse (TV series)
    Nurse is a British television comedy-drama series that follows the professional and personal life of a community mental health nurse, co-created by and starring comedian Paul Whitehouse.
  • B. Nurses television series chosen
    Nurses is an American sitcom that aired in the early 1990s, focusing on the professional and personal lives of a group of nurses working at a Miami hospital.
  • C. The Nurses
    The Nurses is an American television drama series from the 1960s that focused on the professional and personal lives of nurses working in a New York City hospital.
  • D. Enfermeras
    "Enfermeras" is a popular Colombian television drama series centered on the professional and personal lives of nurses working in a busy hospital.
  • E. Nurse and Philippson
    Nurse and Philippson are linguists known for their influential comparative and historical work on the Niger–Congo language family, particularly its reconstruction and internal classification.
  • 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_69e245b4829881909b77a70e942bbd54 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a8fb71c08190a30500b3f63a9ce6 completed April 29, 2026, 6:45 a.m.
Created at: April 17, 2026, 6:06 p.m.