Triple

T14286762
Position Surface form Disambiguated ID Type / Status
Subject John Normington E354194 entity
Predicate notableWork P4 FINISHED
Object Casualty E374954 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: Casualty | Statement: [John Normington, notableWork, Casualty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Casualty
Context triple: [John Normington, notableWork, Casualty]
  • A. Casualty chosen
    Casualty is a long-running British medical drama television series centered on the staff and patients of a hospital emergency department.
  • B. Holby City
    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.
  • C. 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.
  • 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. The Doctors
    The Doctors is an American daytime talk show that features a panel of medical professionals discussing health-related topics, offering medical advice, and addressing audience questions.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de697ef40c8190bea37724b28c2e99 completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd467f3b3081908261261301674c4e completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:11 a.m.