Triple
T1200514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empty Nest |
E25769
|
entity |
| Predicate | relatedShow |
P37
|
FINISHED |
| Object | Nurses |
E136007
|
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: Nurses | Statement: [Empty Nest, relatedShow, Nurses]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nurses Context triple: [Empty Nest, relatedShow, 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.
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.
-
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_69a49429f5ec8190a6a205eb0ae81e5e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd9ec3488190afe35af54efae5e9 |
completed | March 1, 2026, 10:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac7f383a1c8190932e4b200fec02b5 |
completed | March 7, 2026, 7:40 p.m. |
Created at: March 1, 2026, 7:46 p.m.