Triple

T38394689
Position Surface form Disambiguated ID Type / Status
Subject de Bourgh E900723 entity
Predicate relationToDarcyFamily P94755 FINISHED
Object Lady Catherine is aunt to Fitzwilliam Darcy E260918 NE 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: Lady Catherine is aunt to Fitzwilliam Darcy | Statement: [de Bourgh, relationToDarcyFamily, Lady Catherine is aunt to Fitzwilliam Darcy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relationToDarcyFamily
Context triple: [de Bourgh, relationToDarcyFamily, Lady Catherine is aunt to Fitzwilliam Darcy]
  • A. allyRelation
    Indicates a cooperative, supportive relationship in which the entities act as allies toward shared or aligned goals.
  • B. relationToVonMaur
    Indicates a specified type of relationship or association that an entity has with Von Maur.
  • C. relationshipToRelative chosen
    Indicates the specific familial connection or kinship role that one person has in relation to a particular relative.
  • D. relationToAncestors
    Indicates a familial relationship that connects an entity to one or more of its ancestors in a lineage or hierarchy.
  • E. belongsToDynamicalFamily
    Indicates that one entity is a member of, or classified within, a specific dynamical family defined by shared motion or evolution characteristics.
  • F. None of above.

Provenance (4 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_69f76e6071a081909eea7a670d21420c completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_6a037c903be48190a2fafa53d7d50d42 completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41b2b2e9688190a0163354a6f27c2b completed June 28, 2026, 11:48 p.m.
PD Predicate disambiguation batch_6a037a1c850c819088795a7ae59bdeb8 completed May 12, 2026, 7:06 p.m.
Created at: May 3, 2026, 4:31 p.m.