Triple
T7421705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laws for the Internet Age |
E171263
|
entity |
| Predicate | usedInWorkMedium |
P47936
|
FINISHED |
| Object | book |
—
|
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: book | Statement: [Laws for the Internet Age, usedInWorkMedium, book]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInWorkMedium Context triple: [Laws for the Internet Age, usedInWorkMedium, book]
-
A.
usedInWork
Indicates that something (such as a concept, method, material, or component) is employed or applied within a particular work, project, or creation.
-
B.
workedInMedium
chosen
Indicates that an entity carried out work or activities within a particular medium or channel of expression or communication.
-
C.
workUsedAs
Indicates that one work is employed or utilized in the creation, performance, or presentation of another work.
-
D.
usedMedium
Indicates that an action or communication was carried out through a particular medium or channel.
-
E.
usedByOffice
Indicates that something is utilized, operated, or employed by an office or office-related entity.
- 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2ebc520819087cfc2eb9dda0e17 |
completed | March 27, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69c6f03648d08190b862d07fef71210c |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:11 p.m.