Triple
T11089681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holy Name Medical Center |
E262217
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Holy Name Hospital |
E262217
|
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: Holy Name Hospital | Statement: [Holy Name Medical Center, formerName, Holy Name Hospital]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Holy Name Hospital Context triple: [Holy Name Medical Center, formerName, Holy Name Hospital]
-
A.
Holy Name Medical Center
chosen
Holy Name Medical Center is a nonprofit community hospital and healthcare facility located in Teaneck, New Jersey.
-
B.
Holy Family Hospital
Holy Family Hospital is a major public teaching and referral hospital located in Rawalpindi, Pakistan.
-
C.
Sacred Heart Hospital
Sacred Heart Hospital is the fictional teaching hospital where most of the events and character interactions in the medical comedy series "Scrubs" take place.
-
D.
Catholic Medical Center
Catholic Medical Center is a major acute-care hospital and healthcare provider serving the Manchester, New Hampshire region.
-
E.
Our Lady of Lourdes Medical Center
Our Lady of Lourdes Medical Center is a Catholic-affiliated hospital in Camden, New Jersey, known for providing comprehensive acute care and specialized medical services to the surrounding community.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799e96ca08190838c8a04d1eb2a16 |
completed | April 9, 2026, 12:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d66ded88190877a20a10f012d6b |
completed | April 19, 2026, 1:18 a.m. |
Created at: April 8, 2026, 9:27 p.m.