Triple

T4443473
Position Surface form Disambiguated ID Type / Status
Subject Robert Griesemer E96224 entity
Predicate hasGivenTalkOn P3281 FINISHED
Object Go programming language E17649 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: Go programming language | Statement: [Robert Griesemer, hasGivenTalkOn, Go programming language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Go programming language
Context triple: [Robert Griesemer, hasGivenTalkOn, Go programming language]
  • A. Go chosen
    Go is a statically typed, compiled programming language developed at Google, known for its simplicity, efficient concurrency support, and suitability for scalable networked and cloud services.
  • B. Go
    "Go" is a surf rock song, likely characterized by upbeat rhythms and guitar-driven melodies typical of the genre.
  • C. Go
    Go is an ancient East Asian abstract strategy board game, renowned for its simple rules yet immense strategic depth, played on a grid with black and white stones.
  • D. Run Go
    "Run Go" is a socially conscious reggae/dancehall song by Ghanaian artist Stonebwoy that addresses political and economic struggles.
  • E. GOOS Project Office
    The GOOS Project Office is the coordinating body that supports and manages the implementation and development of the Global Ocean Observing System’s worldwide ocean monitoring activities.
  • 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_69b345415ba481908df738e7174448ba completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3564216b081908c41109100b36862 completed March 13, 2026, 12:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69b66b31c9488190bc24f802fff24073 completed March 15, 2026, 8:17 a.m.
Created at: March 12, 2026, 11:32 p.m.