Triple

T18016291
Position Surface form Disambiguated ID Type / Status
Subject MobileNetV2 E431005 entity
Predicate developedBy P73 FINISHED
Object Andrew Howard
Andrew Howard is a computer vision researcher and engineer best known for his work on efficient deep neural network architectures, including leading the development of MobileNetV2.
E1300984 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: Andrew Howard | Statement: [MobileNetV2, developedBy, Andrew Howard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrew Howard
Context triple: [MobileNetV2, developedBy, Andrew Howard]
  • A. Andrew Howard
    Andrew Howard is a Welsh actor known for his intense character roles in film and television, including a supporting role in the thriller "Limitless."
  • B. Michael Howard
    Michael Howard is a British Conservative politician who served as Leader of the Conservative Party and Leader of the Opposition in the early 2000s.
  • C. Martin Hawke
    Martin Hawke is a person notable enough to be recognized as a prominent bearer of the surname Hawke.
  • D. Howard Donald
    Howard Donald is an English singer, songwriter, and DJ best known as one of the members of the pop group Take That.
  • E. Michael Eliot Howard
    Michael Eliot Howard was a prominent British military historian and academic known for his influential works on war studies and strategic thought.
  • 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: Andrew Howard
Triple: [MobileNetV2, developedBy, Andrew Howard]
Generated description
Andrew Howard is a computer vision researcher and engineer best known for his work on efficient deep neural network architectures, including leading the development of MobileNetV2.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Andrew Howard
Target entity description: Andrew Howard is a computer vision researcher and engineer best known for his work on efficient deep neural network architectures, including leading the development of MobileNetV2.
  • A. Andrew Howard
    Andrew Howard is a Welsh actor known for his intense character roles in film and television, including a supporting role in the thriller "Limitless."
  • B. Michael Howard
    Michael Howard is a British Conservative politician who served as Leader of the Conservative Party and Leader of the Opposition in the early 2000s.
  • C. Martin Hawke
    Martin Hawke is a person notable enough to be recognized as a prominent bearer of the surname Hawke.
  • D. Howard Donald
    Howard Donald is an English singer, songwriter, and DJ best known as one of the members of the pop group Take That.
  • E. Michael Eliot Howard
    Michael Eliot Howard was a prominent British military historian and academic known for his influential works on war studies and strategic thought.
  • 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b523f588819097389e067dda7f23 completed April 19, 2026, 10:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a034324daec8190a9bbec1ad80c70f9 completed May 12, 2026, 3:11 p.m.
NEDg Description generation batch_6a0343dc91688190ae8e2f051cefef85 completed May 12, 2026, 3:14 p.m.
NED2 Entity disambiguation (via description) batch_6a0344b6f4e081908ff2fbc7bfa4c4e1 completed May 12, 2026, 3:18 p.m.
Created at: April 10, 2026, 10:24 a.m.