Triple
T31710840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sacred Heart Hospital |
E809311
|
entity |
| Predicate | chiefOfMedicineCharacter |
P62077
|
FINISHED |
| Object | Bob Kelso |
—
|
NE NERFINISHED |
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: Bob Kelso | Statement: [Sacred Heart Hospital, chiefOfMedicineCharacter, Bob Kelso]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chiefOfMedicineCharacter Context triple: [Sacred Heart Hospital, chiefOfMedicineCharacter, Bob Kelso]
-
A.
chiefMedicalOfficer
chosen
Indicates that one entity serves as the highest-ranking medical authority or head of medical operations for the other entity.
-
B.
hasDoctorCharacter
Indicates that an entity includes or features a character whose role or profession is that of a doctor.
-
C.
portrayedDoctorBy
Indicates that one entity served in the role of portraying a doctor character associated with another entity (such as a show, film, or franchise).
-
D.
chiefSaintOf
Indicates that one entity serves as the principal or primary patron saint associated with another entity (such as a place, group, or institution).
-
E.
chiefLieutenantOf
Indicates that one person serves as the primary subordinate or top-ranking assistant to another leader or authority figure.
- F. None of above.
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_69f348df4e048190a4a5a9932ada78d6 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6aaf50be08190a2b62a6d881f8aee |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa20a1588190a53533fc9764efb2 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 30, 2026, 11:15 p.m.