Triple

T28401890
Position Surface form Disambiguated ID Type / Status
Subject Platonic letters E719412 entity
Predicate containsAutobiographicalMaterialAbout P19920 FINISHED
Object Plato 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: Plato | Statement: [Platonic letters, containsAutobiographicalMaterialAbout, Plato]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: containsAutobiographicalMaterialAbout
Context triple: [Platonic letters, containsAutobiographicalMaterialAbout, Plato]
  • A. hasAutobiographicalElements chosen
    Indicates that something, such as a work or narrative, contains elements drawn from the creator’s own life or personal experiences.
  • B. hasAutobiographicalSubject
    Indicates that something (such as a work, text, or narrative) has a subject that is the author or creator’s own life or personal experiences.
  • C. hasPartInBiography
    Indicates that a person or entity is featured or plays a role within someone’s biographical account.
  • D. wroteAutobiographicalWork
    Indicates that a person is the author of a written work that is an account of their own life.
  • E. hasBiographicalPerspective
    Indicates that one entity presents, analyzes, or frames another entity from a biographical point of view, focusing on life history or personal background.
  • 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_69eff6efd1b08190ae3cefd4f11388a2 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69fd7e364a648190a1e9e1d9fc76e99e completed May 8, 2026, 6:09 a.m.
PD Predicate disambiguation batch_69fd7bb547608190a3b04dddbca6b8bc completed May 8, 2026, 5:59 a.m.
Created at: April 28, 2026, 1:20 a.m.