Triple

T15360889
Position Surface form Disambiguated ID Type / Status
Subject Samuel H. Sternberg E367284 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: [Samuel H. Sternberg, hasPublishedIn, Science]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Science
Context triple: [Samuel H. Sternberg, 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. Nauka
    Nauka is a Russian-built multipurpose laboratory module on the International Space Station that provides research facilities, crew quarters, and additional propulsion and docking capabilities.
  • D. 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.
  • E. 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.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e4607408190ab281a7f7a8012d3 completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b4a181c8190bffc1ac1a86e215d completed May 9, 2026, 10:24 a.m.
Created at: April 10, 2026, 3:18 a.m.