Triple
T1545453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grey’s Anatomy |
E32966
|
entity |
| Predicate | formerSettingName |
P65
|
FINISHED |
| Object | Seattle Grace Hospital |
E175649
|
NE FINISHED |
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: Seattle Grace Hospital | Statement: [Grey’s Anatomy, formerSettingName, Seattle Grace Hospital]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seattle Grace Hospital Context triple: [Grey’s Anatomy, formerSettingName, Seattle Grace Hospital]
-
A.
Grey Sloan Memorial Hospital
chosen
Grey Sloan Memorial Hospital is the fictional Seattle teaching hospital that serves as the central workplace and dramatic backdrop for the medical series Grey’s Anatomy.
-
B.
Emanuel Hospital
Emanuel Hospital was the original charitable foundation that evolved into Emanuel School, a historic educational institution in London.
-
C.
Good Samaritan Medical Center
Good Samaritan Medical Center is a regional acute care hospital serving the healthcare needs of residents in and around Brockton, Massachusetts.
-
D.
Hollywood Presbyterian Medical Center
Hollywood Presbyterian Medical Center is a major acute-care hospital in Los Angeles known for providing a wide range of medical and emergency services to the surrounding community.
-
E.
St. Mary’s Hospital Center
St. Mary’s Hospital Center is a Montreal-based healthcare institution that serves as a major teaching hospital within the McGill University medical network.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerSettingName Context triple: [Grey’s Anatomy, formerSettingName, Seattle Grace Hospital]
-
A.
formerName
chosen
Indicates that an entity was previously known by a different name in the past.
-
B.
formerMemberName
Indicates that the referenced name belongs to an entity that was previously a member of a particular group, organization, or body but is no longer one.
-
C.
formerDesignation
Indicates that an entity previously held a particular title, role, or designation that it no longer holds.
-
D.
currentNameUsedFrom
Indicates that an entity’s currently used name has been in effect starting from a specified point in time or source.
-
E.
previousNameUsedUntil
Indicates that a particular name was used for an entity up to (but not necessarily including) a specified end date or time.
- F. None of above.
Provenance (4 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_69a885ed29088190a3c2d5a3d100c16e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa574094048190a2d7fc3ac904d51e |
completed | March 6, 2026, 4:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad37092b648190a339114ffc37d1db |
completed | March 8, 2026, 8:44 a.m. |
| PD | Predicate disambiguation | batch_69a907b426dc8190975c024a50955368 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.