Triple
T21457588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisp Machine Lisp |
E529381
|
entity |
| Predicate | dataTypeModel |
P144422
|
FINISHED |
| Object | everything is an object |
—
|
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: everything is an object | Statement: [Lisp Machine Lisp, dataTypeModel, everything is an object]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataTypeModel Context triple: [Lisp Machine Lisp, dataTypeModel, everything is an object]
-
A.
dataModel
Indicates a relationship where an entity defines, uses, or is structured according to a specific data model or schema.
-
B.
datumType
Indicates the specific kind or category of data that characterizes or classifies a datum.
-
C.
dataTypes
Indicates that one entity specifies or defines the kinds or formats of data that are valid or expected for another entity.
-
D.
metadataType
Indicates that one entity specifies the kind or category of metadata associated with another entity.
-
E.
analyzesDataType
Indicates that one entity examines, interprets, or evaluates a particular type or category of data.
- 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_69e0c458133481908ae8b41a12c4edec |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d7af248190a3bc06a390f390bf |
completed | April 23, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69e631df1b38819088d3604854e697b4 |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e63d2aca38819094d312078feaa436 |
completed | April 20, 2026, 2:50 p.m. |
Created at: April 16, 2026, 6:08 p.m.