Triple

T26066667
Position Surface form Disambiguated ID Type / Status
Subject Baron Passfield E657420 entity
Predicate grantedToOccupation P163045 FINISHED
Object social reformer 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: social reformer | Statement: [Baron Passfield, grantedToOccupation, social reformer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: grantedToOccupation
Context triple: [Baron Passfield, grantedToOccupation, social reformer]
  • A. grantedToOccupation chosen
    Indicates that something (such as a right, license, or privilege) is formally granted to people based on their occupation or professional role.
  • B. allowedOccupationOf
    Indicates that one entity is permitted or authorized to hold or perform the occupation associated with another entity.
  • C. hadOccupationAuthority
    Indicates that an entity held an official position or role that granted them recognized authority or power within an occupation or professional context.
  • D. requiredOccupationOf
    Indicates that one entity specifies the occupation or job role that is required or expected for another entity (such as a position, task, or qualification).
  • E. endedOccupationOf
    Indicates that one entity brought another entity’s occupation or control of a place or position to an end.
  • 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_69ee5bbe539081909efc7f9dd7c1b53c completed April 26, 2026, 6:38 p.m.
NER Named-entity recognition batch_69f638d11c988190af7fd4572b08e038 completed May 2, 2026, 5:48 p.m.
PD Predicate disambiguation batch_69f63706b6008190993577193c85ff50 completed May 2, 2026, 5:40 p.m.
Created at: April 26, 2026, 7:24 p.m.