Triple

T7807884
Position Surface form Disambiguated ID Type / Status
Subject Jefferson’s letter to the Danbury Baptists E180601 entity
Predicate coinersOrPopularizersOfPhrase P4586 FINISHED
Object wall of separation between church and state 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: wall of separation between church and state | Statement: [Jefferson’s letter to the Danbury Baptists, coinersOrPopularizersOfPhrase, wall of separation between church and state]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: coinersOrPopularizersOfPhrase
Context triple: [Jefferson’s letter to the Danbury Baptists, coinersOrPopularizersOfPhrase, wall of separation between church and state]
  • A. coinedTerm
    Indicates that an entity originated and introduced a particular term or expression into use.
  • B. conceptCoinedFromName
    Indicates that a concept was created or derived from a specific person's name.
  • C. popularizedBy chosen
    Indicates that something became widely known, accepted, or fashionable as a result of the influence or actions of a particular agent.
  • D. propagandaTermCoinedBy
    Indicates that a specific propaganda term was originally created or introduced by a particular agent or source.
  • E. oftenMisquotedAs
    Indicates that one entity is frequently incorrectly cited or repeated as being another specific entity or expression.
  • 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_69ca827f6f148190beca4e245b993506 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf78a6d88819093f83528fe88b182 completed March 30, 2026, 10:22 p.m.
PD Predicate disambiguation batch_69cae91687788190af9cb7aaa996d291 completed March 30, 2026, 9:20 p.m.
Created at: March 30, 2026, 4:36 p.m.