Triple
T23498975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annie Roland |
E571784
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | Nurses |
—
|
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: Nurses | Statement: [Annie Roland, appearsIn, Nurses]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nurses Context triple: [Annie Roland, appearsIn, Nurses]
-
A.
Nurses
chosen
Nurses is an American sitcom that follows the personal and professional lives of a group of nurses working at a Miami hospital.
-
B.
Nurse
Nurse is a common English occupational surname originally referring to someone who worked as a caregiver or medical attendant.
-
C.
Nurse
Nurse is a supporting character in Peter Shaffer’s play "Equus," serving as part of the institutional staff involved in the psychological treatment of the troubled protagonist.
-
D.
Nurse
The Nurse is Juliet’s talkative, affectionate, and often comic caretaker in Shakespeare’s "Romeo and Juliet," serving as her confidante and go-between in the lovers’ secret relationship.
-
E.
NURSE Corps
NURSE Corps is a federal program that provides scholarships and loan repayment to nurses who commit to working in underserved communities across the United States.
- 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_69e245b4829881909b77a70e942bbd54 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a8fb71c08190a30500b3f63a9ce6 |
completed | April 29, 2026, 6:45 a.m. |
Created at: April 17, 2026, 6:06 p.m.