Triple

T1491196
Position Surface form Disambiguated ID Type / Status
Subject Information Doesn’t Want to Be Free E29582 entity
Predicate positionOnInnovation P1484 FINISHED
Object claims overbroad copyright stifles innovation 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: claims overbroad copyright stifles innovation | Statement: [Information Doesn’t Want to Be Free, positionOnInnovation, claims overbroad copyright stifles innovation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: positionOnInnovation
Context triple: [Information Doesn’t Want to Be Free, positionOnInnovation, claims overbroad copyright stifles innovation]
  • A. innovationArea
    Indicates the thematic or domain-specific field in which an innovation is focused or applied.
  • B. innovation chosen
    Indicates the introduction or development of something new or significantly improved compared to existing methods, products, or ideas.
  • C. positionOnScience
    Indicates the stance, viewpoint, or attitude an entity holds regarding science or scientific matters.
  • D. positionInIndustry
    Indicates the role, rank, or standing that an entity holds within a particular industry or sector.
  • E. positionOnKnowledge
    Indicates the stance, viewpoint, or level of agreement an entity holds regarding a particular piece or body of knowledge.
  • 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.