Triple

T4643749
Position Surface form Disambiguated ID Type / Status
Subject Cesare Pavese E101714 entity
Predicate awardReceived P11 FINISHED
Object Strega Prize E332179 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: Strega Prize | Statement: [Cesare Pavese, awardReceived, Strega Prize]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Strega Prize
Context triple: [Cesare Pavese, awardReceived, Strega Prize]
  • A. Strega Prize chosen
    The Strega Prize is Italy’s most prestigious literary award, given annually to outstanding works of fiction in Italian.
  • B. Franz Kafka Prize
    The Franz Kafka Prize is an international literary award honoring authors whose work reflects the humanistic and existential qualities associated with Franz Kafka’s writing.
  • C. Sonje Award
    The Sonje Award is a prize presented at the Busan International Film Festival that recognizes outstanding achievements in Korean short filmmaking.
  • D. Nevalinna Prize
    The Nevanlinna Prize was a prestigious international award, given every four years alongside the Fields Medal, for outstanding contributions to the mathematical aspects of information science.
  • E. Kleist Prize
    The Kleist Prize is a prestigious German literary award honoring outstanding achievements in contemporary German-language literature.
  • 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_69bd43d3bc7c81908f81fcf380476b0f completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a94486c819087ef8811dcde83b1 completed March 20, 2026, 2:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfadc5dc081908d56a49895105efb completed March 21, 2026, 1:56 a.m.
Created at: March 20, 2026, 1:14 p.m.