Triple

T19172061
Position Surface form Disambiguated ID Type / Status
Subject Noah Huntley E469345 entity
Predicate actedIn P1668 FINISHED
Object Holby City 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: Holby City | Statement: [Noah Huntley, actedIn, Holby City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Holby City
Context triple: [Noah Huntley, actedIn, Holby City]
  • A. Holby City chosen
    Holby City is a long-running British medical drama television series set in a fictional hospital, focusing on the professional and personal lives of its staff.
  • B. Casualty
    Casualty is a long-running British medical drama television series centered on the staff and patients of a hospital emergency department.
  • C. HolbyBlue
    HolbyBlue is a British police procedural drama series set in the same fictional city and universe as the medical drama Holby City.
  • D. Call the Midwife
    Call the Midwife is a British period drama television series that follows a group of midwives working in London’s impoverished East End during the 1950s and 1960s.
  • E. Doctors (British TV series)
    Doctors is a long-running British daytime medical drama series that follows the professional and personal lives of staff and patients at a fictional general practice.
  • 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f16481948190973067eb854da237 completed April 20, 2026, 9:27 a.m.
Created at: April 10, 2026, 12:06 p.m.