Triple

T5922797
Position Surface form Disambiguated ID Type / Status
Subject OpenJS Foundation E131736 entity
Predicate hostsProject P2592 FINISHED
Object Grunt E97044 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: Grunt | Statement: [OpenJS Foundation, hostsProject, Grunt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grunt
Context triple: [OpenJS Foundation, hostsProject, Grunt]
  • A. Grunt chosen
    Grunt is a JavaScript-based task runner commonly used in web development to automate repetitive tasks such as building, testing, and deploying code.
  • B. Gulp
    Gulp is a JavaScript-based task runner and build system commonly used to automate front-end development workflows such as compiling, bundling, and optimizing assets.
  • C. The Grinder
    The Grinder is an American television sitcom that satirizes legal dramas, starring Rob Lowe and Fred Savage as brothers whose lives are upended when a TV lawyer returns home believing he can practice real law.
  • D. Flynt
    Flynt is the middle name of William Flynt Nichols, an American politician who served as a U.S. Representative from Alabama.
  • E. Jest
    Jest is a popular JavaScript testing framework known for its simplicity, built-in mocking, and snapshot testing, commonly used in Node.js and React 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_69c0085a1ed08190a7e9a8b6323fd680 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03804d9808190829a418adb7864aa completed March 22, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c0483e3481908e50f8b34b11a878 completed March 23, 2026, 4:23 a.m.
Created at: March 22, 2026, 4 p.m.