Triple

T5049994
Position Surface form Disambiguated ID Type / Status
Subject Joshua R. Giddings E113760 entity
Predicate area of activism P11461 FINISHED
Object anti-slavery movement in the United States 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: anti-slavery movement in the United States | Statement: [Joshua R. Giddings, area of activism, anti-slavery movement in the United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: area of activism
Context triple: [Joshua R. Giddings, area of activism, anti-slavery movement in the United States]
  • A. areaOfActivism chosen
    Indicates the specific social, political, or environmental cause or issue that an entity actively advocates for or works to change.
  • B. placeOfActivism
    Indicates the location or geographic area where an individual or group engages in activism or advocacy activities.
  • C. civicActivity
    Indicates participation in or performance of activities related to civic engagement, public service, or community involvement.
  • D. massParticipation
    Indicates that a large number of individuals or entities are jointly involved in or contributing to a particular activity, event, or process.
  • E. genreOfPoliticalActivity
    Indicates the specific type or category of political activity that characterizes or classifies a given political action or engagement.
  • 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_69bd44391fc48190a311ce9c826c209b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7425df74819091cfde348dd16a68 completed March 20, 2026, 4:21 p.m.
PD Predicate disambiguation batch_69bd715479f08190933604aebd34414f completed March 20, 2026, 4:09 p.m.
Created at: March 20, 2026, 1:37 p.m.