Triple

T9111481
Position Surface form Disambiguated ID Type / Status
Subject Mann family E218609 entity
Predicate hasLiteraryLegacy P15594 FINISHED
Object Nobel Prize-winning fiction via Thomas Mann 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: Nobel Prize-winning fiction via Thomas Mann | Statement: [Mann family, hasLiteraryLegacy, Nobel Prize-winning fiction via Thomas Mann]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLiteraryLegacy
Context triple: [Mann family, hasLiteraryLegacy, Nobel Prize-winning fiction via Thomas Mann]
  • A. hasLiterarySignificance chosen
    Indicates that something holds notable importance, influence, or value within the realm of literature or literary studies.
  • B. hasLiteraryConnection
    Indicates a relationship in which one entity is connected to another through a literary link, such as authorship, reference, influence, adaptation, or shared appearance in written works.
  • C. hasAncientLiteraryTradition
    Indicates that an entity possesses a long-established, historically significant body of written literature originating in ancient times.
  • D. hasLiteraryStandard
    Indicates that one entity defines, specifies, or embodies the accepted literary norm or standard used by another entity.
  • E. hasLiteraryContext
    Indicates that something is associated with, situated within, or explained by a particular literary context (such as a work, genre, period, or interpretive framework).
  • 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_69ca83dc94ac8190b9ef42684d36ff39 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8495c448190b9bb3803fb2dda70 completed April 1, 2026, 5:08 a.m.
PD Predicate disambiguation batch_69cc65fe5be081909d4470d6317b14a6 completed April 1, 2026, 12:25 a.m.
Created at: March 30, 2026, 7:16 p.m.