Triple

T834945
Position Surface form Disambiguated ID Type / Status
Subject Jazz (novel) E18048 entity
Predicate literaryAwardContext P16522 FINISHED
Object written after Toni Morrison won the Pulitzer Prize for Beloved 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: written after Toni Morrison won the Pulitzer Prize for Beloved | Statement: [Jazz (novel), literaryAwardContext, written after Toni Morrison won the Pulitzer Prize for Beloved]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: literaryAwardContext
Context triple: [Jazz (novel), literaryAwardContext, written after Toni Morrison won the Pulitzer Prize for Beloved]
  • A. awardContext chosen
    Indicates the situational or circumstantial context in which an award is given or received.
  • B. dateAwarded Nobel Prize in Literature
    Indicates the specific date on which an entity received the Nobel Prize in Literature.
  • C. dateAwarded Pulitzer Prize for Fiction
    Indicates that a specific date is when an entity received the Pulitzer Prize for Fiction.
  • D. writtenByNobelLaureate
    Indicates that the work or document was authored by a person who has received a Nobel Prize.
  • E. hasLiterarySignificance
    Indicates that something holds notable importance, influence, or value within the realm of literature or literary studies.
  • F. None of above.

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_69a49389f44881909a608fb27d89f247 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4abccb94881909cd49aa3fd986b4a completed March 1, 2026, 9:12 p.m.
PD Predicate disambiguation batch_69a4aa7c7df881909c539c3ab8ff0367 completed March 1, 2026, 9:07 p.m.
Created at: March 1, 2026, 7:38 p.m.