Triple

T10523872
Position Surface form Disambiguated ID Type / Status
Subject Mr Bennet E248244 entity
Predicate relationshipWithElizabeth P93592 FINISHED
Object Affectionate and intellectually sympathetic 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: Affectionate and intellectually sympathetic | Statement: [Mr Bennet, relationshipWithElizabeth, Affectionate and intellectually sympathetic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relationshipWithElizabeth
Context triple: [Mr Bennet, relationshipWithElizabeth, Affectionate and intellectually sympathetic]
  • A. MaryRelationshipToElizabeth
    Indicates a relational connection or association that Mary has toward Elizabeth, without specifying the exact nature of that relationship.
  • B. relationshipToElizabethBennet chosen
    Indicates the specific familial, social, or interpersonal connection that an entity has to Elizabeth Bennet.
  • C. relationshipToAnneBoleyn
    Indicates the specific familial, marital, or social connection that an entity has to Anne Boleyn.
  • D. relationshipToCatherine
    Indicates the specific familial, social, or interpersonal connection that one entity has to the person named Catherine.
  • E. relationshipToJaneBennet
    Indicates the specific familial, social, or emotional connection that one entity has to Jane Bennet.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509e155b08190996325bf484ec55d completed April 7, 2026, 1:42 p.m.
PD Predicate disambiguation batch_69d4fb94fa10819091f585bab4379c6f completed April 7, 2026, 12:41 p.m.
Created at: April 6, 2026, 12:29 p.m.