Triple
T15531845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julie Legrand |
E370236
|
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: [Julie Legrand, notableWork, Casualty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Casualty Context triple: [Julie Legrand, 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0414877d88190804ee76566004e13 |
completed | April 16, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff45549e4881908ab0769e49ba5dc4 |
completed | May 9, 2026, 2:31 p.m. |
Created at: April 10, 2026, 4:06 a.m.