Triple

T5923863
Position Surface form Disambiguated ID Type / Status
Subject ML E131757 entity
Predicate influenced P9 FINISHED
Object Haskell E95186 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: Haskell | Statement: [ML, influenced, Haskell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haskell
Context triple: [ML, influenced, Haskell]
  • A. 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.
  • B. GHC
    GHC (Glasgow Haskell Compiler) is the most widely used, feature-rich, and optimizing compiler for the Haskell programming language.
  • C. GHC
    GHC is the Gauhati High Court, the principal judicial authority for the Indian state of Assam and certain neighboring states in the Northeast region.
  • D. Haskell committee
    The Haskell committee is the group of researchers and language designers responsible for specifying and standardizing the Haskell functional programming language.
  • E. Hindley–Milner type system
    The Hindley–Milner type system is a classical polymorphic type system used in many functional programming languages, notable for enabling type inference without explicit type annotations.
  • 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_69c0085a1ed08190a7e9a8b6323fd680 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03851189c819094524e8b5080545e completed March 22, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3a9b6348190909e14e095e2eea0 completed March 23, 2026, 6:54 a.m.
Created at: March 22, 2026, 4 p.m.