Triple

T5613161
Position Surface form Disambiguated ID Type / Status
Subject Ian Main E147408 entity
Predicate hasPublishedIn P309 FINISHED
Object Science E53325 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: Science | Statement: [Ian Main, hasPublishedIn, Science]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Science
Context triple: [Ian Main, hasPublishedIn, Science]
  • A. Science chosen
    Science is a leading peer-reviewed academic journal that publishes cutting-edge research across a wide range of scientific disciplines.
  • B. Syience
    Syience is a music producer known for his work in contemporary R&B and pop, collaborating with prominent artists on charting tracks.
  • C. SCI
    SCI is the Small Carry-on Impactor, an explosive device on Japan’s Hayabusa2 spacecraft designed to create an artificial crater on asteroid Ryugu to expose and sample subsurface material.
  • D. SCI
    SCI is the abbreviation for the Strategic Computing Initiative, a U.S. Defense Advanced Research Projects Agency (DARPA) program from the 1980s that aimed to advance artificial intelligence and high-performance computing for military applications.
  • E. SCI
    SCI is a widely used citation indexing service that tracks and analyzes references in leading scientific journals to assess research impact and influence.
  • 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_69c00905d4588190bd967842bbcf2219 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c021226cf88190b70b4b51eb5b4144 completed March 22, 2026, 5:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0287b14708190bc246e982896ad27 completed March 22, 2026, 5:35 p.m.
Created at: March 22, 2026, 3:39 p.m.