Triple
T22948118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Eve Bailey |
E569930
|
entity |
| Predicate | fictionalUniverse |
P3758
|
FINISHED |
| Object | Nurses television series |
—
|
NE NERFINISHED |
How this triple was built (3 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 television series | Statement: [Dr. Eve Bailey, fictionalUniverse, Nurses television series]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nurses television series Context triple: [Dr. Eve Bailey, fictionalUniverse, Nurses television 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.
Armstrong and Miller television series
Armstrong and Miller is a British sketch comedy television series featuring the comedic duo Alexander Armstrong and Ben Miller in a variety of recurring characters and satirical sketches.
-
C.
Enfermeras
"Enfermeras" is a popular Colombian television drama series centered on the professional and personal lives of nurses working in a busy hospital.
-
D.
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.
-
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. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nurses television series Target entity description: 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.
-
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.
Armstrong and Miller television series
Armstrong and Miller is a British sketch comedy television series featuring the comedic duo Alexander Armstrong and Ben Miller in a variety of recurring characters and satirical sketches.
-
C.
Enfermeras
"Enfermeras" is a popular Colombian television drama series centered on the professional and personal lives of nurses working in a busy hospital.
-
D.
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.
-
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. chosen
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_69e2459199d08190a8184ee2aa935842 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1819fbf8c8190ad80c93f1507aa73 |
completed | April 29, 2026, 3:57 a.m. |
Created at: April 17, 2026, 3:46 p.m.