Triple

T4389213
Position Surface form Disambiguated ID Type / Status
Subject Hugging Face Transformers E99320 entity
Predicate supportsModelType P19966 FINISHED
Object Speech2Text
Speech2Text is a sequence-to-sequence speech recognition model that converts spoken audio into transcribed text.
 E17415 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: Speech2Text | Statement: [Hugging Face Transformers, supportsModelType, Speech2Text]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Speech2Text
Context triple: [Hugging Face Transformers, supportsModelType, Speech2Text]
  • A. TTS
    TTS is a U.S. General Services Administration organization that helps federal agencies modernize their technology, improve digital services, and adopt innovative solutions.
  • B. API for Whisper
    API for Whisper is OpenAI’s cloud-based interface for programmatically accessing its Whisper speech recognition model to transcribe and translate audio.
  • C. Inflection AI
    Inflection AI is an artificial intelligence company focused on developing advanced conversational AI systems, co-founded by DeepMind co-founder Mustafa Suleyman.
  • D. Google Cloud Text-to-Speech
    Google Cloud Text-to-Speech is a cloud-based service that converts text into natural-sounding speech using advanced deep learning models.
  • E. TokenTalk
    TokenTalk is a token-passing local area network protocol developed by Apple as a variant of its AppleTalk networking architecture.
  • 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: Speech2Text
Triple: [Hugging Face Transformers, supportsModelType, Speech2Text]
Generated description
Speech2Text is a sequence-to-sequence speech recognition model that converts spoken audio into transcribed text.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Speech2Text
Target entity description: Speech2Text is a sequence-to-sequence speech recognition model that converts spoken audio into transcribed text.
  • A. TTS
    TTS is a U.S. General Services Administration organization that helps federal agencies modernize their technology, improve digital services, and adopt innovative solutions.
  • B. API for Whisper chosen
    API for Whisper is OpenAI’s cloud-based interface for programmatically accessing its Whisper speech recognition model to transcribe and translate audio.
  • C. Inflection AI
    Inflection AI is an artificial intelligence company focused on developing advanced conversational AI systems, co-founded by DeepMind co-founder Mustafa Suleyman.
  • D. Google Cloud Text-to-Speech
    Google Cloud Text-to-Speech is a cloud-based service that converts text into natural-sounding speech using advanced deep learning models.
  • E. TokenTalk
    TokenTalk is a token-passing local area network protocol developed by Apple as a variant of its AppleTalk networking architecture.
  • F. None of above.

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_69b3454f739481909ff6c28331f0c0b9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35281900c8190882e9ccfa44ab86f completed March 12, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e52d63c08190bc98c090cfe0ff1c completed March 14, 2026, 10:46 p.m.
NEDg Description generation batch_69b5e5b3ba208190b6cb5e40f9e744e8 completed March 14, 2026, 10:48 p.m.
NED2 Entity disambiguation (via description) batch_69b5e62af694819086b3eddb71f591d2 completed March 14, 2026, 10:50 p.m.
Created at: March 12, 2026, 11:19 p.m.