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.