Triple

T4029584
Position Surface form Disambiguated ID Type / Status
Subject Kai Owen E83673 entity
Predicate appearedIn P795 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: [Kai Owen, appearedIn, Casualty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Casualty
Context triple: [Kai Owen, appearedIn, 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. 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.
  • D. 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.
  • E. Silent Witness
    Silent Witness is a long-running British crime drama television series that follows forensic pathologists as they investigate complex and often disturbing deaths.
  • 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_69aed92e29ac819080f7a98b594fec05 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaf1d8208190951a20ad7e5ab7bc completed March 9, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b556358f148190be7008092d0023af completed March 14, 2026, 12:36 p.m.
Created at: March 9, 2026, 3:36 p.m.