Triple

T16367953
Position Surface form Disambiguated ID Type / Status
Subject Correspondência de Fradique Mendes E397483 entity
Predicate usesNarrativeFrame P115762 FINISHED
Object editor presenting discovered letters 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: editor presenting discovered letters | Statement: [Correspondência de Fradique Mendes, usesNarrativeFrame, editor presenting discovered letters]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesNarrativeFrame
Context triple: [Correspondência de Fradique Mendes, usesNarrativeFrame, editor presenting discovered letters]
  • A. narrativeFrame
    Indicates the overarching narrative context or perspective within which events, actions, or relationships are presented or interpreted.
  • B. usesNarrativeStyle
    Indicates that one entity employs or adopts a particular narrative style in presenting or structuring content or information.
  • C. useInNarrative chosen
    Indicates that something is employed as an element or device within a narrative or story.
  • D. containsNarrativeOf
    Indicates that one entity includes or presents the story, account, or narrative content of another entity.
  • E. hasNarrative
    Indicates that one entity contains, presents, or is associated with a story or narrative about another entity or subject.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2ff3f0694819097faa1c1447a9e97 completed April 18, 2026, 3:49 a.m.
PD Predicate disambiguation batch_69e226f37ecc819082af58b29b4e39d1 completed April 17, 2026, 12:26 p.m.
Created at: April 10, 2026, 5:08 a.m.