Triple
T16585369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MEV-1 |
E402941
|
entity |
| Predicate | fieldOfDepiction |
P123416
|
FINISHED |
| Object | epidemiology |
—
|
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: epidemiology | Statement: [MEV-1, fieldOfDepiction, epidemiology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldOfDepiction Context triple: [MEV-1, fieldOfDepiction, epidemiology]
-
A.
artisticDepiction
Indicates that one entity visually represents, portrays, or illustrates another in an artistic medium.
-
B.
depictionType
Indicates the specific manner or style in which something is visually represented or depicted.
-
C.
placeOfDepiction
Indicates the location or setting where the depicted subject is shown as being situated in the representation.
-
D.
intendedToDepict
Indicates that one entity was purposefully created or selected in order to visually represent or portray another entity.
-
E.
depictionFocus
Indicates that a depiction (such as an image or illustration) is primarily focused on or centered around a particular entity or subject.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3599b057881909fcb8bbb156633a8 |
completed | April 18, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69e296a7d9d0819088555bca6c936e79 |
completed | April 17, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69e2d7fb02f481908885a226c2191231 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:16 a.m.