Triple
T17060279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Marcus Welby |
E413936
|
entity |
| Predicate | primaryThemeAssociated |
P36853
|
FINISHED |
| Object | medical ethics |
—
|
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: medical ethics | Statement: [Dr. Marcus Welby, primaryThemeAssociated, medical ethics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryThemeAssociated Context triple: [Dr. Marcus Welby, primaryThemeAssociated, medical ethics]
-
A.
primaryThemeAssociation
chosen
Indicates that one entity is the main or central theme associated with another entity.
-
B.
primaryThemeOrigin
Indicates that the primary thematic content of something (e.g., a work or discourse) originates from or is derived from a particular source or context.
-
C.
majorThemeAssociation
Indicates that one entity is associated with another as a primary or central theme.
-
D.
primaryTopicOf
Indicates that a given subject is the main or central topic described by another resource (such as a document, page, or record).
-
E.
primaryLogoTheme
Indicates the main stylistic or visual design theme associated with a logo.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db7d2dc48190816388570fa31c2e |
completed | April 18, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69e35d60a588819084f53ef9f8b2e7c0 |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:34 a.m.