Triple

T146715
Position Surface form Disambiguated ID Type / Status
Subject Twitter, Inc. E3345 entity
Predicate ceo P2568 FINISHED
Object Parag Agrawal
Parag Agrawal is an Indian-American technology executive and computer scientist best known for serving as the chief executive officer of Twitter.
E27738 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: Parag Agrawal | Statement: [Twitter, Inc., ceo, Parag Agrawal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parag Agrawal
Context triple: [Twitter, Inc., ceo, Parag Agrawal]
  • A. Sergey Brin
    Sergey Brin is a computer scientist and internet entrepreneur best known as the co-founder of Google.
  • B. Reid Hoffman
    Reid Hoffman is an American entrepreneur, venture capitalist, and co-founder of LinkedIn, known for his influential role in the tech industry and philanthropy.
  • C. Dustin Moskovitz
    Dustin Moskovitz is an American entrepreneur and philanthropist best known as a co-founder of Facebook and the productivity software company Asana.
  • D. Max Levchin
    Max Levchin is a Ukrainian-American computer scientist and entrepreneur best known as a co-founder of PayPal and a prominent figure in Silicon Valley’s fintech industry.
  • E. Steve Chen
    Steve Chen is a Taiwanese-American internet entrepreneur best known as one of the co-founders of the video-sharing platform YouTube.
  • 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: Parag Agrawal
Triple: [Twitter, Inc., ceo, Parag Agrawal]
Generated description
Parag Agrawal is an Indian-American technology executive and computer scientist best known for serving as the chief executive officer of Twitter.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Parag Agrawal
Target entity description: Parag Agrawal is an Indian-American technology executive and computer scientist best known for serving as the chief executive officer of Twitter.
  • A. Sergey Brin
    Sergey Brin is a computer scientist and internet entrepreneur best known as the co-founder of Google.
  • B. Reid Hoffman
    Reid Hoffman is an American entrepreneur, venture capitalist, and co-founder of LinkedIn, known for his influential role in the tech industry and philanthropy.
  • C. Dustin Moskovitz
    Dustin Moskovitz is an American entrepreneur and philanthropist best known as a co-founder of Facebook and the productivity software company Asana.
  • D. Max Levchin
    Max Levchin is a Ukrainian-American computer scientist and entrepreneur best known as a co-founder of PayPal and a prominent figure in Silicon Valley’s fintech industry.
  • E. Steve Chen
    Steve Chen is a Taiwanese-American internet entrepreneur best known as one of the co-founders of the video-sharing platform YouTube.
  • 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_69a252868de4819080e21c9938bfe8b6 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a25bab43608190ba5ebfbee6b5b6e4 completed Feb. 28, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69a34418bb848190ac26adef7f990f93 completed Feb. 28, 2026, 7:38 p.m.
NEDg Description generation batch_69a34543689c8190ac8e25ffcf3b4fb3 completed Feb. 28, 2026, 7:42 p.m.
NED2 Entity disambiguation (via description) batch_69a345748c808190b0f8f2a00c3705e2 completed Feb. 28, 2026, 7:43 p.m.
Created at: Feb. 28, 2026, 2:31 a.m.