Triple

T80307
Position Surface form Disambiguated ID Type / Status
Subject "I Have a Dream" speech E1612 entity
Predicate moralFramework P1192 FINISHED
Object Christian ethics 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: Christian ethics | Statement: ["I Have a Dream" speech, moralFramework, Christian ethics]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: moralFramework
Context triple: ["I Have a Dream" speech, moralFramework, Christian ethics]
  • A. ethicalDebate
    Indicates a relationship where parties are engaged in discussing, questioning, or disputing the moral rightness or wrongness of actions, policies, or principles.
  • B. ethos
    Indicates the characteristic spirit, values, or guiding beliefs that define how an individual, group, or organization thinks and behaves.
  • C. hasEthicalTeaching chosen
    Indicates that one entity provides, promotes, or embodies instruction or guidance related to ethical principles, values, or moral conduct for another entity.
  • D. philosophicalTheme
    Indicates that a work, idea, or discourse centrally involves or explores a particular philosophical concept, question, or line of thought.
  • E. violatedPrinciple
    Indicates that an entity has broken, disregarded, or acted contrary to a specified rule, norm, or guiding principle.
  • 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_69a24c60d19c8190a1b6c105ca59ef5b completed Feb. 28, 2026, 2:01 a.m.
NER Named-entity recognition batch_69a24fd16c248190a6ee4cd96c388772 completed Feb. 28, 2026, 2:15 a.m.
PD Predicate disambiguation batch_69a24eb126b48190b410b859c1be99aa completed Feb. 28, 2026, 2:10 a.m.
Created at: Feb. 28, 2026, 2:06 a.m.