Triple

T6031687
Position Surface form Disambiguated ID Type / Status
Subject Andre Geim E134318 entity
Predicate familyName P18 FINISHED
Object Geim E134318 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: Geim | Statement: [Andre Geim, familyName, Geim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geim
Context triple: [Andre Geim, familyName, Geim]
  • A. Ojingeo Geim
    Ojingeo Geim is the Korean title of the globally popular South Korean survival drama series "Squid Game."
  • B. Kostya Novoselov
    Kostya Novoselov is a Russian-British physicist and Nobel laureate best known for co-discovering graphene and pioneering research on its remarkable properties.
  • C. Andre Geim chosen
    Andre Geim is a Dutch-British physicist best known for his Nobel Prize–winning work on graphene and his playful "Friday night experiments," which also earned him an Ig Nobel Prize.
  • D. Néel
    Néel is a French surname most notably associated with physicist Louis Néel, a Nobel laureate recognized for his pioneering work in magnetism.
  • E. Phaedon Avouris
    Phaedon Avouris is a Greek-American physicist and nanoscientist renowned for his pioneering research in carbon nanotubes, graphene, and nanoelectronics.
  • 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_69c0087515148190a97475d412563865 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056af89e881909652957f94317684 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c113855ad08190b9ff826a2f39c356 completed March 23, 2026, 10:18 a.m.
Created at: March 22, 2026, 4:08 p.m.