Triple
T17828160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zeng Fanzhi |
E445176
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Hospital 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: Hospital series | Statement: [Zeng Fanzhi, notableWork, Hospital series]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hospital series Context triple: [Zeng Fanzhi, notableWork, Hospital series]
-
A.
Hospital Playlist
Hospital Playlist is a popular South Korean medical drama series that follows the intertwined personal and professional lives of five longtime friends who work as doctors at the same hospital.
-
B.
HospitalRun
HospitalRun is an open-source, offline-first hospital management software project designed to improve healthcare record-keeping in low-resource settings.
-
C.
Hospital Productions
Hospital Productions is an independent record label and imprint known for releasing experimental, noise, and dark ambient music.
-
D.
Hospital station
Hospital station is a passenger rail station on the Valparaíso Metro system in Chile, serving the surrounding urban area and nearby medical facilities.
-
E.
Hospital Sketches
Hospital Sketches is a semi-autobiographical collection of Civil War–era sketches by Louisa May Alcott, based on her experiences as a Union Army nurse.
- 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: Hospital series Target entity description: Hospital series is a body of paintings by Chinese contemporary artist Zeng Fanzhi that starkly depicts medical settings to explore themes of anxiety, vulnerability, and the human condition in post-socialist China.
-
A.
Hospital Playlist
Hospital Playlist is a popular South Korean medical drama series that follows the intertwined personal and professional lives of five longtime friends who work as doctors at the same hospital.
-
B.
HospitalRun
HospitalRun is an open-source, offline-first hospital management software project designed to improve healthcare record-keeping in low-resource settings.
-
C.
Hospital Productions
Hospital Productions is an independent record label and imprint known for releasing experimental, noise, and dark ambient music.
-
D.
Hospital station
Hospital station is a passenger rail station on the Valparaíso Metro system in Chile, serving the surrounding urban area and nearby medical facilities.
-
E.
Hospital Sketches
Hospital Sketches is a semi-autobiographical collection of Civil War–era sketches by Louisa May Alcott, based on her experiences as a Union Army nurse.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48915d0fc819080ab03feb2465834 |
completed | April 19, 2026, 7:49 a.m. |
Created at: April 10, 2026, 10:15 a.m.