Triple
T18258390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Language Models are Unsupervised Multitask Learners |
E437278
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Rewon Child |
—
|
NE NERFINISHED |
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: Rewon Child | Statement: [Language Models are Unsupervised Multitask Learners, author, Rewon Child]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rewon Child Context triple: [Language Models are Unsupervised Multitask Learners, author, Rewon Child]
-
A.
Rewon Child
chosen
Rewon Child is a machine learning researcher known for co-authoring the influential GPT-2 language model paper at OpenAI.
-
B.
Sojin
Sojin is a given name, often used in East Asian cultures, that can refer to various individuals in entertainment, arts, and other fields.
-
C.
Yong Saetae
Yong Saetae was a wealthy Chinese-Thai merchant in 18th-century Siam best known as the father of King Taksin, the founder of the Thonburi Kingdom.
-
D.
Wooyung
Wooyung is a small coastal locality in northern New South Wales, Australia, known for its quiet beaches and rural surroundings.
-
E.
Juemin
Juemin is the given name of Lin Juemin, a notable Chinese revolutionary associated with the late Qing dynasty reform movements.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 10, 2026, 10:34 a.m.