Triple
T6828718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ethicist |
E157081
|
entity |
| Predicate | columnType |
P72901
|
FINISHED |
| Object | weekly column |
—
|
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: weekly column | Statement: [The Ethicist, columnType, weekly column]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: columnType Context triple: [The Ethicist, columnType, weekly column]
-
A.
fieldType
Indicates the classification or category that defines the nature or kind of a given field within a structure or context.
-
B.
databaseType
Indicates the specific kind or category of database technology associated with an entity.
-
C.
logicalType
Indicates that one entity is classified as a logical type or category used to define or constrain the logical behavior or interpretation of another entity.
-
D.
oracleType
Indicates the specific kind or category of oracle associated with or used by an entity.
-
E.
datumType
Indicates the specific kind or category of data that characterizes or classifies a datum.
- 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_69c6882a5b5c8190917a7db9ed36bad1 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d6254bd88190a2a424537c2c12e2 |
completed | March 27, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69c6d09d95f0819091ca7f897dc21efe |
completed | March 27, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69c6d11fab808190b18160ff3829fcc6 |
completed | March 27, 2026, 6:49 p.m. |
Created at: March 27, 2026, 2:18 p.m.