Triple

T25493835
Position Surface form Disambiguated ID Type / Status
Subject Memoir of a Brother E638902 entity
Predicate hasBiographicalSubjectRelation P103598 FINISHED
Object sibling of the author 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: sibling of the author | Statement: [Memoir of a Brother, hasBiographicalSubjectRelation, sibling of the author]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBiographicalSubjectRelation
Context triple: [Memoir of a Brother, hasBiographicalSubjectRelation, sibling of the author]
  • A. hasBiographicalSignificanceIn
    Indicates that something holds notable relevance or importance within the context of a particular person's life or biography.
  • B. hasBiographicalSubjectOccupation
    Indicates that the biographical subject is or was engaged in the specified occupation or profession.
  • C. isBiographerOf
    Indicates that one person has written a biography about another person.
  • D. hasBiographicalWork chosen
    Indicates that there exists a biographical work (such as a book, article, or film) whose subject is the given entity.
  • E. hasBiographicalTheme
    Indicates that something (such as a work, text, or content) centers on or significantly involves biographical subject matter, such as a person’s life, experiences, or personal history.
  • 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_69e75dbbd2a88190b70e1e645de14b9a completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5ffc74fa481909b4fe24a9337f9eb completed May 2, 2026, 1:44 p.m.
PD Predicate disambiguation batch_69f5f7f99dc08190afcfb3bc4dfbec1d completed May 2, 2026, 1:11 p.m.
Created at: April 21, 2026, 2:39 p.m.