Triple

T4651202
Position Surface form Disambiguated ID Type / Status
Subject Language Models are Few-Shot Learners E102297 entity
Predicate author P4 FINISHED
Object Daniel M. Ziegler E526291 NE 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: Daniel M. Ziegler | Statement: [Language Models are Few-Shot Learners, author, Daniel M. Ziegler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel M. Ziegler
Context triple: [Language Models are Few-Shot Learners, author, Daniel M. Ziegler]
  • A. Daniel M. Ziegler chosen
    Daniel M. Ziegler is a researcher known for co-authoring influential work in artificial intelligence and machine learning, including large language model research.
  • B. Peter A. Ziegler
    Peter A. Ziegler was a prominent Swiss geologist known for his influential work on the tectonic evolution and geological history of Europe.
  • C. Daniel L. Fapp
    Daniel L. Fapp was an American cinematographer known for his work on numerous Hollywood films, including the Oscar-winning West Side Story.
  • D. Daniel W. Herzog
    Daniel W. Herzog is an American Anglican bishop best known for serving as the Bishop of the Episcopal Diocese of Albany in New York.
  • E. Martin J. Hillenbrand
    Martin J. Hillenbrand was an American career diplomat who held several key Cold War-era posts, including serving as U.S. Ambassador to Hungary and later to the Federal Republic of Germany.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69bd43d71a308190afea7280841b0de8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd630343f88190954d19fcd18a5864 completed March 20, 2026, 3:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfba1e755081909649e0dd8c4d2270 completed March 22, 2026, 9:45 a.m.
Created at: March 20, 2026, 1:14 p.m.