Triple
T38676867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hank Lawson |
E943770
|
entity |
| Predicate | medicalPracticeName |
P191517
|
FINISHED |
| Object | HankMed |
—
|
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: HankMed | Statement: [Hank Lawson, medicalPracticeName, HankMed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: medicalPracticeName Context triple: [Hank Lawson, medicalPracticeName, HankMed]
-
A.
medicalPractice
Indicates a relationship where an entity engages in or carries out the professional provision of medical care or services.
-
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.
placeOfPractice
Indicates the location where an individual or organization regularly carries out their professional activities or services.
-
D.
administeredInPracticeBy
Indicates that a medical treatment, procedure, or intervention is carried out or delivered by a specific healthcare practice or provider entity.
-
E.
medicalAffiliation
Indicates a formal professional or institutional relationship between an entity and a medical organization, such as employment, membership, or clinical association.
- F. None of above. chosen
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_69f76eec28708190b9c82a505fc278e0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
| PDg | Predicate description generation | batch_69fcdfbafbf48190abe38ec0003a6419 |
completed | May 7, 2026, 6:53 p.m. |
Created at: May 3, 2026, 4:33 p.m.