Triple
T30603797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Malcolm Sayer |
E778979
|
entity |
| Predicate | showsQuality |
P171300
|
FINISHED |
| Object | empathy toward patients |
—
|
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: empathy toward patients | Statement: [Dr. Malcolm Sayer, showsQuality, empathy toward patients]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showsQuality Context triple: [Dr. Malcolm Sayer, showsQuality, empathy toward patients]
-
A.
showsThat
Indicates that one entity demonstrates, proves, or provides evidence for the truth or validity of another.
-
B.
hasPortrayalQuality
Indicates that something possesses a particular characteristic or standard of quality in how it is portrayed or represented.
-
C.
supportsQuality
Indicates that one entity contributes to maintaining, enhancing, or ensuring the quality or standard of another entity or process.
-
D.
ultimatelyShows
Indicates that something eventually reveals, demonstrates, or makes clear another thing as a final outcome or conclusion.
-
E.
showType
Indicates the category or format in which something is presented or displayed (e.g., type of show, presentation, or display mode).
- 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_69f224a21fc08190abd9d8dd9eb6bb4c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f69f80b62c8190bf2af2be0d3a7df8 |
completed | May 3, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69f69d1a37e081908d1d86b90ff502bd |
completed | May 3, 2026, 12:55 a.m. |
| PDg | Predicate description generation | batch_69f69dfbf6ac8190ba2e6fc0adfd8b73 |
completed | May 3, 2026, 12:59 a.m. |
Created at: April 29, 2026, 8:25 p.m.