Triple

T20106502
Position Surface form Disambiguated ID Type / Status
Subject Gemini 1.5 E490191 entity
Predicate improvesUpon P6555 FINISHED
Object Gemini 1.0 in multimodal reasoning NE NERFINISHED

How this triple was built (3 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: Gemini 1.0 in multimodal reasoning | Statement: [Gemini 1.5, improvesUpon, Gemini 1.0 in multimodal reasoning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gemini 1.0 in multimodal reasoning
Context triple: [Gemini 1.5, improvesUpon, Gemini 1.0 in multimodal reasoning]
  • A. Winograd Schema Challenge
    The Winograd Schema Challenge is an AI benchmark test that evaluates a system’s commonsense reasoning by requiring it to resolve pronoun references in carefully constructed, ambiguous sentences that humans find easy but machines find difficult.
  • B. The Riddle of the Model
    "The Riddle of the Model" is a catchy 1980s-inspired pop song from the Irish musical film *Sing Street*, performed by the fictional band within the movie.
  • C. Modular Inference Engine
    Modular Inference Engine is a high-performance, flexible AI runtime system designed by Modular Inc. to accelerate and unify the deployment of machine learning models across diverse hardware platforms.
  • D. Language Models are Unsupervised Multitask Learners
    "Language Models are Unsupervised Multitask Learners" is a 2019 OpenAI research paper that demonstrated how large-scale unsupervised language models like GPT-2 can perform a wide range of tasks without task-specific training.
  • E. Falcon-7B-Instruct
    Falcon-7B-Instruct is an instruction-tuned 7-billion-parameter variant of the Falcon large language model, optimized for following user prompts in natural language tasks.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gemini 1.0 in multimodal reasoning
Target entity description: Gemini 1.0 in multimodal reasoning is an earlier generation of Google's Gemini AI model designed to process and integrate information across multiple modalities such as text and images.
  • A. Winograd Schema Challenge
    The Winograd Schema Challenge is an AI benchmark test that evaluates a system’s commonsense reasoning by requiring it to resolve pronoun references in carefully constructed, ambiguous sentences that humans find easy but machines find difficult.
  • B. The Riddle of the Model
    "The Riddle of the Model" is a catchy 1980s-inspired pop song from the Irish musical film *Sing Street*, performed by the fictional band within the movie.
  • C. Modular Inference Engine
    Modular Inference Engine is a high-performance, flexible AI runtime system designed by Modular Inc. to accelerate and unify the deployment of machine learning models across diverse hardware platforms.
  • D. Language Models are Unsupervised Multitask Learners
    "Language Models are Unsupervised Multitask Learners" is a 2019 OpenAI research paper that demonstrated how large-scale unsupervised language models like GPT-2 can perform a wide range of tasks without task-specific training.
  • E. Falcon-7B-Instruct
    Falcon-7B-Instruct is an instruction-tuned 7-billion-parameter variant of the Falcon large language model, optimized for following user prompts in natural language tasks.
  • F. None of above. chosen

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_69da62636cc08190982cc71733a17b8d completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e666dcb8d4819091889e19dd9137a6 completed April 20, 2026, 5:48 p.m.
Created at: April 11, 2026, 11:28 p.m.