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
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.
E1411485 NE FINISHED

How this triple was built (4 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.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gemini 1.0 in multimodal reasoning
Triple: [Gemini 1.5, improvesUpon, Gemini 1.0 in multimodal reasoning]
Generated 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.
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 (5 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.
NED1 Entity disambiguation (via context triple) batch_6a082714d6648190bfc4c3ba92b8bd45 completed May 16, 2026, 8:13 a.m.
NEDg Description generation batch_6a082915c66881909dadac08ea4b8bd3 completed May 16, 2026, 8:21 a.m.
NED2 Entity disambiguation (via description) batch_6a0829a921688190a52538f7537e4ce5 completed May 16, 2026, 8:24 a.m.
Created at: April 11, 2026, 11:28 p.m.