Triple

T5650976
Position Surface form Disambiguated ID Type / Status
Subject Katherine Patrick E124506 entity
Predicate appearedInContextOf P2919 FINISHED
Object Massachusetts political events 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: Massachusetts political events | Statement: [Katherine Patrick, appearedInContextOf, Massachusetts political events]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appearedInContextOf
Context triple: [Katherine Patrick, appearedInContextOf, Massachusetts political events]
  • A. emergedInContext
    Indicates that something came into existence, became apparent, or developed within a specific situation, environment, or set of circumstances.
  • B. contextOf chosen
    Indicates that one entity provides the situational, informational, or environmental background within which another entity exists, occurs, or is interpreted.
  • C. occurredIn
    Indicates that an event or action took place within a specific location, context, or time frame.
  • D. proposedInContextOf
    Indicates that something (such as an idea, action, or change) was proposed specifically within, and in relation to, a particular situation, setting, or surrounding circumstances.
  • E. appearedWith
    Indicates that two entities were present or participated together in the same context, event, or medium.
  • 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_69c00825df388190a58742fa9b1aa33d completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022d4ca788190b20168b20cb1d030 completed March 22, 2026, 5:11 p.m.
PD Predicate disambiguation batch_69c01b2274b48190b2ef57ed728f785c completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:42 p.m.