Triple

T146692
Position Surface form Disambiguated ID Type / Status
Subject Twitter, Inc. E3345 entity
Predicate foundedBy P104 FINISHED
Object Noah Glass
Noah Glass is an American software developer and entrepreneur best known as one of the early co-founders who helped create and shape Twitter.
E39073 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: Noah Glass | Statement: [Twitter, Inc., foundedBy, Noah Glass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noah Glass
Context triple: [Twitter, Inc., foundedBy, Noah Glass]
  • A. Dylan Highsmith
    Dylan Highsmith is a film editor best known for his work on major action and science-fiction movies, including Pacific Rim: Uprising.
  • B. Nate Rogers
    Nate Rogers is a notable individual who shares the Rogers surname and has achieved enough recognition to be specifically identified among its bearers.
  • C. Noah Keen
    Noah Keen was a British character actor known for his numerous supporting roles in film and television from the 1950s through the 1990s.
  • D. Robby Mook
    Robby Mook is an American political strategist best known for serving as campaign manager for Hillary Clinton’s 2016 U.S. presidential campaign.
  • E. Brian VanDeMark
    Brian VanDeMark is an American historian and author known for his work on U.S. foreign policy and the Vietnam War, including coauthoring influential studies of that conflict.
  • 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: Noah Glass
Triple: [Twitter, Inc., foundedBy, Noah Glass]
Generated description
Noah Glass is an American software developer and entrepreneur best known as one of the early co-founders who helped create and shape Twitter.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Noah Glass
Target entity description: Noah Glass is an American software developer and entrepreneur best known as one of the early co-founders who helped create and shape Twitter.
  • A. Dylan Highsmith
    Dylan Highsmith is a film editor best known for his work on major action and science-fiction movies, including Pacific Rim: Uprising.
  • B. Nate Rogers
    Nate Rogers is a notable individual who shares the Rogers surname and has achieved enough recognition to be specifically identified among its bearers.
  • C. Noah Keen
    Noah Keen was a British character actor known for his numerous supporting roles in film and television from the 1950s through the 1990s.
  • D. Robby Mook
    Robby Mook is an American political strategist best known for serving as campaign manager for Hillary Clinton’s 2016 U.S. presidential campaign.
  • E. Brian VanDeMark
    Brian VanDeMark is an American historian and author known for his work on U.S. foreign policy and the Vietnam War, including coauthoring influential studies of that conflict.
  • 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_69a257eba6188190a3cf99c91bf3038f completed Feb. 28, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3b06e75408190987d3dffed703e2e completed March 1, 2026, 3:20 a.m.
NEDg Description generation batch_69a3b0d63cd081908a8e1ce6e24b7a8f completed March 1, 2026, 3:21 a.m.
NED2 Entity disambiguation (via description) batch_69a3b13a9cdc81908b2f125f8ddede8f completed March 1, 2026, 3:23 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.