Triple

T11417377
Position Surface form Disambiguated ID Type / Status
Subject Lindbergh Law E270527 entity
Predicate originallyPerceivedAs P4529 FINISHED
Object law targeting kidnappers of children 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: law targeting kidnappers of children | Statement: [Lindbergh Law, originallyPerceivedAs, law targeting kidnappers of children]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: originallyPerceivedAs
Context triple: [Lindbergh Law, originallyPerceivedAs, law targeting kidnappers of children]
  • A. originallyPresentedAs
    Indicates that one entity was first introduced, described, or characterized in the form or manner specified by another entity.
  • B. perceivedAttribute
    Indicates that one entity recognizes, interprets, or assigns a particular attribute or quality to another entity.
  • C. influencedPerceptionOf
    Indicates that one entity has affected, shaped, or altered how another entity is perceived or understood.
  • D. originallyCastFrom
    Indicates that one entity was the source or original form from which another entity was cast, derived, or transformed.
  • E. interpretedAs chosen
    Indicates that something is understood, perceived, or taken to mean something else, often based on context or subjective judgment.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801b0236c81908122ce3fc7b4fde7 completed April 9, 2026, 7:44 p.m.
PD Predicate disambiguation batch_69d7e70ffd708190b62a78ebcbce9f78 completed April 9, 2026, 5:51 p.m.
Created at: April 8, 2026, 9:34 p.m.