Triple

T22444152
Position Surface form Disambiguated ID Type / Status
Subject Karma E554823 entity
Predicate integratesWith P1075 FINISHED
Object Grunt 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: Grunt | Statement: [Karma, integratesWith, Grunt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grunt
Context triple: [Karma, integratesWith, Grunt]
  • A. Grunt
    Grunt is a krogan squadmate and genetically engineered super-soldier from the Mass Effect video game series.
  • B. 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.
  • C. The Grunt
    "The Grunt" is a 1969 funk instrumental by The J.B.'s, best known for its distinctive saxophone riff that became one of hip-hop’s most sampled breaks.
  • D. Gulp
    Gulp is a powerful, hulking dinosaur-like boss character from the Spyro the Dragon video game series, known for serving as one of Ripto’s main enforcers.
  • E. 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.
  • 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_69e11e5113208190ab58c6b595f9d1d0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ae517208190924a7968723f55ef completed April 29, 2026, 1:12 a.m.
Created at: April 16, 2026, 8:47 p.m.