Triple

T33702640
Position Surface form Disambiguated ID Type / Status
Subject Imagine This: Growing Up with My Brother John Lennon E863497 entity
Predicate hasSubjectRelative P27845 FINISHED
Object half-sister of John Lennon 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: half-sister of John Lennon | Statement: [Imagine This: Growing Up with My Brother John Lennon, hasSubjectRelative, half-sister of John Lennon]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSubjectRelative
Context triple: [Imagine This: Growing Up with My Brother John Lennon, hasSubjectRelative, half-sister of John Lennon]
  • A. hasSubjectReference
    Indicates that one entity refers to or points to another entity as its subject or primary focus.
  • B. hasSubjectPosition
    Indicates that an entity occupies or is assigned to a particular subject role or position within a structure, context, or organization.
  • C. hasSubjectObject
    Indicates that a relationship or action involves both a subject entity (the doer or focus) and an object entity (the receiver or target) within the same context.
  • D. hasRelativeRole chosen
    Indicates that one entity holds a familial or kinship-based role in relation to another entity.
  • E. hasHumanSubject
    Indicates that an entity serves as the human participant or subject involved in an action, event, or relation.
  • 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_69f3498723a08190ac034339cc78eade completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69ff64b957bc81908afbc5914234a8ea completed May 9, 2026, 4:45 p.m.
PD Predicate disambiguation batch_69ff6446593c81909173e296eea2590c completed May 9, 2026, 4:43 p.m.
Created at: May 1, 2026, 1:43 a.m.