Triple
T469936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francis Nurse |
E8532
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Nurse |
E3911
|
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: Nurse | Statement: [Francis Nurse, familyName, Nurse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nurse Context triple: [Francis Nurse, familyName, Nurse]
-
A.
Nurse
chosen
Nurse is a common English occupational surname originally referring to someone who worked as a caregiver or medical attendant.
-
B.
RN
RN is the commonly used abbreviation for "RN: The Memoirs of Richard Nixon," the former U.S. president’s autobiographical account of his life and political career.
-
C.
Richard Nurse
Richard Nurse is a Canadian former professional ice hockey player who competed in the World Hockey Association during the 1970s.
-
D.
School of Nursing
The School of Nursing at George Washington University is an academic division dedicated to educating nurses and advancing nursing research and practice within the university’s health sciences programs.
-
E.
School of Nursing
The School of Nursing at Georgetown University is an academic division dedicated to educating nurses and advancing nursing research and practice within a Jesuit, values-based framework.
- 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_69a2e7f3aeb48190a19453e3a043f486 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efef8b788190857ebf66df562d59 |
completed | Feb. 28, 2026, 1:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a45803a8c081908e5f5a03f462cd2e |
completed | March 1, 2026, 3:15 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.