Triple

T1491187
Position Surface form Disambiguated ID Type / Status
Subject Information Doesn’t Want to Be Free E29582 entity
Predicate positionOnCopyright P20467 FINISHED
Object critical of restrictive copyright laws 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: critical of restrictive copyright laws | Statement: [Information Doesn’t Want to Be Free, positionOnCopyright, critical of restrictive copyright laws]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: positionOnCopyright
Context triple: [Information Doesn’t Want to Be Free, positionOnCopyright, critical of restrictive copyright laws]
  • A. positionOn
    Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
  • B. positionOnLaw
    Indicates a stance, opinion, or interpretation that an entity holds regarding a specific law or legal provision.
  • C. positionOnIssue chosen
    Indicates the stance or viewpoint an entity holds regarding a specific issue or topic.
  • D. positionInCase
    Indicates the specific role, status, or placement that an entity holds within a particular case or legal proceeding.
  • E. positionSpecific
    Indicates that something applies only at, or is defined with respect to, a particular position or location within a larger structure or sequence.
  • 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_69a498da82e08190ba833330d05f380f completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6c3ace4819081bc2b86ee2486b6 completed March 1, 2026, 11:07 p.m.
PD Predicate disambiguation batch_69a4c48902808190a8028d359bcf123e completed March 1, 2026, 10:58 p.m.
Created at: March 1, 2026, 8:12 p.m.