Triple
T18258429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Language Models are Unsupervised Multitask Learners |
E437278
|
entity |
| Predicate | concernsAddressed |
P131057
|
FINISHED |
| Object | potential misuse of powerful language models |
—
|
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: potential misuse of powerful language models | Statement: [Language Models are Unsupervised Multitask Learners, concernsAddressed, potential misuse of powerful language models]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: concernsAddressed Context triple: [Language Models are Unsupervised Multitask Learners, concernsAddressed, potential misuse of powerful language models]
-
A.
concernsClause
Indicates that one entity (such as a document, statement, or discussion) is about, relates to, or addresses a particular clause.
-
B.
concernsSet
Indicates that something is about, relates to, or involves a particular set as its primary subject or focus.
-
C.
concernsText
Indicates that something is about or relates specifically to a given piece of text.
-
D.
concernsProvision
Indicates a relationship where something is about, deals with, or relates to the supplying or making available of resources, services, or necessities.
-
E.
concernsTitle
Indicates that something is about or relates specifically to a particular title (such as a name, designation, or formal heading).
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd8879e88190893f8da7c3529496 |
completed | April 19, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69e44fcdee748190bae6fb76e0cb22f3 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e451a0ba208190a5fe92832a8f7a49 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:34 a.m.