Triple
T38671240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Jack MacKee |
E940594
|
entity |
| Predicate | laterAttitudeTowardPatients |
P159371
|
FINISHED |
| Object | compassionate |
—
|
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: compassionate | Statement: [Dr. Jack MacKee, laterAttitudeTowardPatients, compassionate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterAttitudeTowardPatients Context triple: [Dr. Jack MacKee, laterAttitudeTowardPatients, compassionate]
-
A.
representsToPatients
Indicates that an entity serves as a representative or acts on behalf of patients in some context or interaction.
-
B.
attitudeTowardOthers
chosen
Indicates the nature or disposition of one entity’s feelings, judgments, or behavioral stance toward other entities.
-
C.
laterAttitudeTowardShow
Indicates a subject’s attitude or opinion toward a show at a later point in time, relative to some earlier reference point.
-
D.
laterAttitudeTowardFans
Indicates a subject’s attitude or feelings toward fans at a later time or subsequent stage compared to an earlier point.
-
E.
focusesOnPatientCareSetting
Indicates that something is concerned with, directed toward, or primarily related to a particular patient care setting.
- 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_69f76edfde348190bf6529d9f49ecd62 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a0186cde2fc819080d7c06503dcc479 |
completed | May 11, 2026, 7:35 a.m. |
| PD | Predicate disambiguation | batch_6a0183ff6d34819080c8ad7c11611a36 |
completed | May 11, 2026, 7:23 a.m. |
Created at: May 3, 2026, 4:33 p.m.