Triple

T18724476
Position Surface form Disambiguated ID Type / Status
Subject Language Models are Few-Shot Learners E457860 entity
Predicate author P4 FINISHED
Object Clemens Winter 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: Clemens Winter | Statement: [Language Models are Few-Shot Learners, author, Clemens Winter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clemens Winter
Context triple: [Language Models are Few-Shot Learners, author, Clemens Winter]
  • A. Clemens Winter chosen
    Clemens Winter is a researcher and co-author known for collaborating with Tom B. Brown on work in artificial intelligence and machine learning.
  • B. Clemens Meyer
    Clemens Meyer is a scientist and co-author of the influential 2021 Nature paper by Jumper et al. that introduced the groundbreaking AlphaFold protein structure prediction system.
  • C. Clemens Meyer
    Clemens Meyer is a contemporary German author known for his gritty, realist novels and short stories depicting life in post-reunification eastern Germany.
  • D. Franz Schilling
    Franz Schilling was a Nazi physician prosecuted in the post–World War II Doctors' Trial for his involvement in unethical and criminal medical experiments.
  • E. Heinz Tiessen
    Heinz Tiessen was a German composer and influential music educator of the early 20th century, known for mentoring prominent conductors and advancing modernist musical trends.
  • 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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56d72d2c4819080b0d31860976b5e completed April 20, 2026, 12:04 a.m.
Created at: April 10, 2026, 11:50 a.m.