Triple
T12517017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John W. Eaton |
E299213
|
entity |
| Predicate | softwareLicenseAdvocated |
P60291
|
FINISHED |
| Object | free software |
—
|
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: free software | Statement: [John W. Eaton, softwareLicenseAdvocated, free software]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: softwareLicenseAdvocated Context triple: [John W. Eaton, softwareLicenseAdvocated, free software]
-
A.
softwareLicensingAdvocacy
Indicates advocacy efforts aimed at promoting, defending, or influencing policies and practices related to software licensing.
-
B.
licenseAdvocated
chosen
Indicates that an agent publicly supports, recommends, or argues in favor of a particular license being used or adopted.
-
C.
licenseStewardship
Indicates that one entity is responsible for managing, overseeing, or administering a license on behalf of another entity.
-
D.
softwareLicenseWorkedWith
Indicates that a particular software license has been used or handled in the course of working with a given software product, project, or component.
-
E.
licenseFocus
Indicates that a license specifically targets, applies to, or is primarily concerned with a particular subject, activity, or scope.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954b867dc8190af8a70f797e4d133 |
completed | April 10, 2026, 7:51 p.m. |
| PD | Predicate disambiguation | batch_69d954096af88190b6be81b008c82139 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:57 p.m.