Triple

T31384413
Position Surface form Disambiguated ID Type / Status
Subject David Rittenhouse Porter E800556 entity
Predicate legislativeExperience P28736 FINISHED
Object member of the Pennsylvania State Senate 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: member of the Pennsylvania State Senate | Statement: [David Rittenhouse Porter, legislativeExperience, member of the Pennsylvania State Senate]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legislativeExperience
Context triple: [David Rittenhouse Porter, legislativeExperience, member of the Pennsylvania State Senate]
  • A. stateLegislativeExperience chosen
    Indicates that an entity has previously served in, or held a position within, a state-level legislative body.
  • B. governingExperience
    Indicates that an entity has experience in governing or exercising authority over others or over an organization, territory, or system.
  • C. positionHeldInLegislature
    Indicates that an entity holds or has held a specific official role or seat within a legislative body.
  • D. hasLeadershipExperienceIn
    Indicates that an entity possesses prior leadership experience specifically within a given domain, context, or organization.
  • E. representedInCongressSince
    Indicates that an entity has served as a representative in a legislative congress continuously since a specified date or time.
  • 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_69f224e9d7048190b0cc20f9071bd3e4 completed April 29, 2026, 3:34 p.m.
NER Named-entity recognition batch_69f6abaa1f648190b77073771df3bf3b completed May 3, 2026, 1:58 a.m.
PD Predicate disambiguation batch_69f6aa1e84b88190b025f6ca40f17a8a completed May 3, 2026, 1:51 a.m.
Created at: April 29, 2026, 9:19 p.m.