Triple

T15448751
Position Surface form Disambiguated ID Type / Status
Subject TEMPORA E370092 entity
Predicate relatedProgram P37 FINISHED
Object PRISM E396690 NE 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: PRISM | Statement: [TEMPORA, relatedProgram, PRISM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PRISM
Context triple: [TEMPORA, relatedProgram, PRISM]
  • A. PRISM
    PRISM is a U.S. National Security Agency electronic surveillance program that collects and analyzes internet communications from major technology companies for intelligence and counterterrorism purposes.
  • B. PRISM chosen
    PRISM is a high-resolution panchromatic imaging sensor used on Japan’s ALOS Earth observation satellites to capture detailed land surface imagery for mapping and environmental monitoring.
  • C. Prism
    Prism is the 2013 pop studio album by American singer Katy Perry, featuring hits like "Roar" and "Dark Horse."
  • D. Prismo
    Prismo is a powerful wish-granting cosmic being from Adventure Time who exists outside normal time and space and influences major events across the multiverse.
  • E. Prisma
    Prisma is a modern TypeScript ORM and database toolkit that provides a type-safe and intuitive way to work with databases in Node.js applications.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ef9334c81908541e231b43eb012 completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2cf9eae881909b5dc74c55a04ff0 completed May 9, 2026, 12:47 p.m.
Created at: April 10, 2026, 3:21 a.m.