Triple
T29343550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ed Roberts |
E744099
|
entity |
| Predicate | workedAsPhysicianIn |
P55930
|
FINISHED |
| Object | Cochran, Georgia, United States |
—
|
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: Cochran, Georgia, United States | Statement: [Ed Roberts, workedAsPhysicianIn, Cochran, Georgia, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workedAsPhysicianIn Context triple: [Ed Roberts, workedAsPhysicianIn, Cochran, Georgia, United States]
-
A.
practicedMedicineIn
chosen
Indicates that a person engaged in the professional practice of medicine within a specified location or jurisdiction.
-
B.
medicalSystemPracticed
Indicates that a particular medical system or tradition is practiced, applied, or followed by an entity (such as a person, organization, or region).
-
C.
medicalPractice
Indicates a relationship where an entity engages in or carries out the professional provision of medical care or services.
-
D.
workedAsMedicalMissionaryIn
Indicates that a person served in the role of a medical missionary in a particular place or region.
-
E.
placeOfPractice
Indicates the location where an individual or organization regularly carries out their professional activities or services.
- 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_69f09126cfcc8190899b16fbf3c2bf7b |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f676f968d08190a4adba0439b438c9 |
completed | May 2, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 28, 2026, 1:35 p.m.