Triple
T32007228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth Hughes |
E817301
|
entity |
| Predicate | hasRoleInMedicalHistory |
P97635
|
FINISHED |
| Object | pioneer insulin therapy patient |
—
|
LITERAL 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: pioneer insulin therapy patient | Statement: [Elizabeth Hughes, hasRoleInMedicalHistory, pioneer insulin therapy patient]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRoleInMedicalHistory Context triple: [Elizabeth Hughes, hasRoleInMedicalHistory, pioneer insulin therapy patient]
-
A.
hasHistoryOf
Indicates that an entity has a documented prior occurrence or background of a specified condition, event, or state.
-
B.
medicalConditionAtTime
Indicates that a specified medical condition is present or applicable to an entity during a particular time or time interval.
-
C.
hasPatientRole
chosen
Indicates that an entity participates in a relationship or activity specifically in the role of a patient (the one receiving care, treatment, or action).
-
D.
hasKeyMedicalPlanner
Indicates that an entity possesses or is associated with a primary medical planning document or tool used for organizing key medical information or care plans.
-
E.
usesMedicalKnowledge
Indicates that an entity applies or relies on medical knowledge in performing an action or making a decision.
- 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_69f348f8ce388190ae84376b1f348f12 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd68abf52881909c5a390c362b7c59 |
completed | May 8, 2026, 4:38 a.m. |
| PD | Predicate disambiguation | batch_69fd6812d0c88190930d8fa2d4b92490 |
completed | May 8, 2026, 4:35 a.m. |
Created at: May 1, 2026, 12:15 a.m.