Triple
T22246254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nurse family |
E549849
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Nurse |
—
|
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: Nurse | Statement: [Nurse family, hasSurname, Nurse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nurse Context triple: [Nurse family, hasSurname, Nurse]
-
A.
Nurse
chosen
Nurse is a common English occupational surname originally referring to someone who worked as a caregiver or medical attendant.
-
B.
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.
-
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.
Nurses
Nurses is an American sitcom that follows the personal and professional lives of a group of nurses working at a Miami hospital.
-
E.
Nurse family
The Nurse family is a familial lineage or household associated with individuals bearing the Nurse surname, including Richard Nurse Jr.
- 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f13217c9f88190aa2ce7d644b57739 |
completed | April 28, 2026, 10:18 p.m. |
Created at: April 16, 2026, 8:38 p.m.