Triple

T18255834
Position Surface form Disambiguated ID Type / Status
Subject Haskell committee E437220 entity
Predicate notableWork P4 FINISHED
Object Haskell 2010 NE NERFINISHED

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: Haskell 2010 | Statement: [Haskell committee, notableWork, Haskell 2010]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haskell 2010
Context triple: [Haskell committee, notableWork, Haskell 2010]
  • A. Haskell
    Haskell is a small town in Muskogee County, Oklahoma, known for its rural character and local community life.
  • B. Haskell chosen
    Haskell is a statically typed, purely functional programming language known for its strong type system, lazy evaluation, and use in both academic research and industry.
  • C. Haskell committee
    The Haskell committee is the group of researchers and language designers responsible for specifying and standardizing the Haskell functional programming language.
  • D. Haskell Institute
    Haskell Institute was an educational institution in Kansas historically known for its Native American student body and athletic programs, where legendary basketball coach Phog Allen once worked.
  • E. GHC
    GHC (Glasgow Haskell Compiler) is the most widely used, feature-rich, and optimizing compiler for the Haskell programming language.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4fd85ee548190a102611fcf709ad4 completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 10:34 a.m.