Triple

T25518169
Position Surface form Disambiguated ID Type / Status
Subject Jemima Crew E639565 entity
Predicate spousePoliticalContext P163015 FINISHED
Object Restoration England 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: Restoration England | Statement: [Jemima Crew, spousePoliticalContext, Restoration England]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: spousePoliticalContext
Context triple: [Jemima Crew, spousePoliticalContext, Restoration England]
  • A. spousePoliticalActivity
    Indicates that one person’s spouse engages in political actions, involvement, or advocacy connected to that person or their role.
  • B. spousePoliticalAlignment
    Indicates that two individuals are spouses and specifies the political alignment or affiliation associated with that spousal relationship.
  • C. spouseOffice
    Indicates that one entity holds an office or position that is associated with, or held by, the spouse of another entity.
  • D. spousePoliticalMovement
    Indicates that the political movement is one with which the spouse of the subject is affiliated or identified.
  • E. spouseRelationshipContext
    Indicates a marital relationship context between two entities, specifying that they are spouses or partners in a recognized marriage-like union.
  • F. None of above. chosen

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_69e75dbe32e48190a62d749a0ff2a96a completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f63639a84c81909d700a539b458b42 completed May 2, 2026, 5:36 p.m.
PD Predicate disambiguation batch_69f63182f1408190bddc1214fcbd6145 completed May 2, 2026, 5:16 p.m.
PDg Predicate description generation batch_69f6352df6148190bc10772cd40bd7b3 completed May 2, 2026, 5:32 p.m.
Created at: April 21, 2026, 2:57 p.m.