Triple

T33852385
Position Surface form Disambiguated ID Type / Status
Subject Baroness Orczy E867664 entity
Predicate setNotableWorkIn P63425 FINISHED
Object French Revolution NE NERFINISHED

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: French Revolution | Statement: [Baroness Orczy, setNotableWorkIn, French Revolution]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: setNotableWorkIn
Context triple: [Baroness Orczy, setNotableWorkIn, French Revolution]
  • A. notableWorkSetHere chosen
    Indicates that a notable creative work is set in or takes place within the referenced location.
  • B. notableFromWork
    Indicates that an entity is notable or well-known specifically because of a particular work it created, contributed to, or is associated with.
  • C. notableWork
    Indicates that one entity is a significant or well-known work (such as a book, artwork, or creation) produced by another entity.
  • D. notableWorkWith
    Indicates a relationship where two or more entities are recognized for having collaborated on or been jointly associated with a significant work or project.
  • E. notableWorkContained
    Indicates that a notable work is included within or is part of another entity, such as a collection, publication, or compilation.
  • 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_69f349937b648190a34ada70f6a2b534 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f70073e67c8190aa5b578cafed96db completed May 3, 2026, 7:59 a.m.
PD Predicate disambiguation batch_69f6fc59518081908b0275f47721d561 completed May 3, 2026, 7:42 a.m.
Created at: May 1, 2026, 1:47 a.m.