Triple

T13431253
Position Surface form Disambiguated ID Type / Status
Subject Green family E313614 entity
Predicate publicStance P4795 FINISHED
Object opposition to certain Affordable Care Act contraception mandates 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: opposition to certain Affordable Care Act contraception mandates | Statement: [Green family, publicStance, opposition to certain Affordable Care Act contraception mandates]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: publicStance
Context triple: [Green family, publicStance, opposition to certain Affordable Care Act contraception mandates]
  • A. policyStance chosen
    Indicates the position or viewpoint an entity holds regarding a specific policy or set of policies.
  • B. editorialStance
    Indicates the position, viewpoint, or bias an editor or publication adopts toward a subject, issue, or entity.
  • C. conflictStance
    Indicates a party’s position, attitude, or alignment regarding a particular conflict or dispute.
  • D. strategicStance
    Indicates the overarching strategic position, approach, or orientation an entity adopts in relation to others or to a particular situation.
  • E. isNeutralAbout
    Indicates that one entity has no strong positive or negative opinion, preference, or stance toward another entity or subject.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaed41a5481908800033303224adb completed April 12, 2026, 2:40 p.m.
PD Predicate disambiguation batch_69d9a03926188190ab3948d1f5d3941f completed April 11, 2026, 1:13 a.m.
Created at: April 9, 2026, 9:40 p.m.