Triple

T32639586
Position Surface form Disambiguated ID Type / Status
Subject Duke of Beaumont E834442 entity
Predicate hasTitleHolderHouse P23794 FINISHED
Object House of Évreux 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: House of Évreux | Statement: [Duke of Beaumont, hasTitleHolderHouse, House of Évreux]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTitleHolderHouse
Context triple: [Duke of Beaumont, hasTitleHolderHouse, House of Évreux]
  • A. hasTitleHolderResidence
    Indicates that a specified residence is the official home or dwelling place of the current holder of a particular title.
  • B. hasTitleHolder
    Indicates that one entity is the current or designated holder of a specific title, position, or honor associated with another entity.
  • C. titleHolderHouse chosen
    Indicates that a particular house or noble family holds or is associated with a specific title.
  • D. hasTitleHolderTrait
    Indicates that an entity possesses a characteristic or status specifically associated with holding a particular title.
  • E. hasTitleHolderSpecies
    Indicates that a particular species currently holds or is designated as the title holder for a specified title, rank, or distinction.
  • 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_69f3492e773c81908afc10651e46cad3 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fd3a69f1e08190a11aed015bff0858 completed May 8, 2026, 1:20 a.m.
PD Predicate disambiguation batch_69fd39124180819080ca7911d3515d6d completed May 8, 2026, 1:14 a.m.
Created at: May 1, 2026, 1:07 a.m.