Triple

T17693994
Position Surface form Disambiguated ID Type / Status
Subject Yuval Tassa E441110 entity
Predicate coAuthorWith P398 FINISHED
Object Raia Hadsell
Raia Hadsell is a computer scientist and researcher known for her work in deep learning and robotics, particularly in continual and lifelong learning at DeepMind.
E1440645 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: Raia Hadsell | Statement: [Yuval Tassa, coAuthorWith, Raia Hadsell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raia Hadsell
Context triple: [Yuval Tassa, coAuthorWith, Raia Hadsell]
  • A. Heather Dunn
    Heather Dunn is an American musician best known as the drummer for the 1990s indie pop band Tiger Trap.
  • B. Kay Medford
    Kay Medford was an American stage and screen actress best known for her Tony- and Oscar-nominated portrayal of Fanny Brice’s mother in the musical and film "Funny Girl."
  • C. Shannon Doughton
    Shannon Doughton is a musician best known as a principal performer associated with the band Pod.
  • D. Meg Haston
    Meg Haston is an American author best known for her middle-grade and young adult novels, including the book that inspired the Nickelodeon television series "How to Rock."
  • E. Sharona Fleming
    Sharona Fleming is a fictional nurse and assertive personal assistant to detective Adrian Monk on the television series "Monk."
  • 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: Raia Hadsell
Triple: [Yuval Tassa, coAuthorWith, Raia Hadsell]
Generated description
Raia Hadsell is a computer scientist and researcher known for her work in deep learning and robotics, particularly in continual and lifelong learning at DeepMind.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Raia Hadsell
Target entity description: Raia Hadsell is a computer scientist and researcher known for her work in deep learning and robotics, particularly in continual and lifelong learning at DeepMind.
  • A. Heather Dunn
    Heather Dunn is an American musician best known as the drummer for the 1990s indie pop band Tiger Trap.
  • B. Kay Medford
    Kay Medford was an American stage and screen actress best known for her Tony- and Oscar-nominated portrayal of Fanny Brice’s mother in the musical and film "Funny Girl."
  • C. Shannon Doughton
    Shannon Doughton is a musician best known as a principal performer associated with the band Pod.
  • D. Meg Haston
    Meg Haston is an American author best known for her middle-grade and young adult novels, including the book that inspired the Nickelodeon television series "How to Rock."
  • E. Sharona Fleming
    Sharona Fleming is a fictional nurse and assertive personal assistant to detective Adrian Monk on the television series "Monk."
  • 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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4715485d88190b9b6f347ff85d7c7 completed April 19, 2026, 6:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08bafa6c60819085ff1d365a18d79c completed May 16, 2026, 6:44 p.m.
NEDg Description generation batch_6a08bba2e85881909ae887fc5bc3121f completed May 16, 2026, 6:46 p.m.
NED2 Entity disambiguation (via description) batch_6a08bc410f008190b00bf4956d591176 completed May 16, 2026, 6:49 p.m.
Created at: April 10, 2026, 10:04 a.m.