Triple
T20778957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liber AL vel Legis |
E511428
|
entity |
| Predicate | formulatesLaw |
P141502
|
FINISHED |
| Object | Do what thou wilt shall be the whole of the Law |
—
|
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: Do what thou wilt shall be the whole of the Law | Statement: [Liber AL vel Legis, formulatesLaw, Do what thou wilt shall be the whole of the Law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formulatesLaw Context triple: [Liber AL vel Legis, formulatesLaw, Do what thou wilt shall be the whole of the Law]
-
A.
formulatesLawsAs
Indicates that one entity expresses or codifies laws, rules, or principles in the form or framework represented by another entity.
-
B.
legalReformer
Indicates that an entity works to change, improve, or modernize laws or legal systems.
-
C.
promulgatesLawsAt
Indicates the action by which an authority formally enacts or issues laws within a particular jurisdiction or location.
-
D.
proposedLaw
Indicates that an entity has formally put forward a law or legislative measure for consideration or approval.
-
E.
legalAct
Indicates that an entity performs, enacts, or is involved in a formal legal action, measure, or proceeding under a legal framework.
- 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_69e0b4cac7a48190a715cb3d545df2b4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c26ed1a08190bb73824672328d98 |
completed | April 21, 2026, 12:18 a.m. |
| PD | Predicate disambiguation | batch_69e5c0550ec481908a0877fb2409d983 |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3cbe5788190b7ace43bfdac2ef6 |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 12:37 p.m.