Triple

T2714370
Position Surface form Disambiguated ID Type / Status
Subject Instructure E59933 entity
Predicate foundedBy P104 FINISHED
Object Devlin Daley
Devlin Daley is a technology entrepreneur best known as a co-founder of Instructure, the company behind the Canvas learning management system.
E293817 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: Devlin Daley | Statement: [Instructure, foundedBy, Devlin Daley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Devlin Daley
Context triple: [Instructure, foundedBy, Devlin Daley]
  • A. Brad Daugherty
    Brad Daugherty is a former NBA center best known for his All-Star career with the Cleveland Cavaliers in the late 1980s and early 1990s.
  • B. Gary Langan
    Gary Langan is a British recording engineer and record producer known for his work with The Buggles, Art of Noise, and numerous influential pop and rock artists.
  • C. Dale Miller
    Dale Miller is a prominent logician and computer scientist known for his influential work in proof theory, logic programming, and automated reasoning.
  • D. Sean Cahill
    Sean Cahill is a relative of former Australian professional soccer player Tim Cahill.
  • E. Adam Bohling
    Adam Bohling is a British film producer known for his work on high-profile action and genre films, including the Kingsman series.
  • 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: Devlin Daley
Triple: [Instructure, foundedBy, Devlin Daley]
Generated description
Devlin Daley is a technology entrepreneur best known as a co-founder of Instructure, the company behind the Canvas learning management system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Devlin Daley
Target entity description: Devlin Daley is a technology entrepreneur best known as a co-founder of Instructure, the company behind the Canvas learning management system.
  • A. Brad Daugherty
    Brad Daugherty is a former NBA center best known for his All-Star career with the Cleveland Cavaliers in the late 1980s and early 1990s.
  • B. Gary Langan
    Gary Langan is a British recording engineer and record producer known for his work with The Buggles, Art of Noise, and numerous influential pop and rock artists.
  • C. Dale Miller
    Dale Miller is a prominent logician and computer scientist known for his influential work in proof theory, logic programming, and automated reasoning.
  • D. Sean Cahill
    Sean Cahill is a relative of former Australian professional soccer player Tim Cahill.
  • E. Adam Bohling
    Adam Bohling is a British film producer known for his work on high-profile action and genre films, including the Kingsman series.
  • 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_69ab4ac92a088190bc74bca14038e3de completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda93a2388190b55a1c821ef6bc64 completed March 7, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb687f6a081909ab1ba98a6ecc60f completed March 10, 2026, 6:13 a.m.
NEDg Description generation batch_69afb7c0ac9c819088939e2a20e74c24 completed March 10, 2026, 6:18 a.m.
NED2 Entity disambiguation (via description) batch_69afb84d36488190b49b05f2d5398627 completed March 10, 2026, 6:21 a.m.
Created at: March 6, 2026, 9:55 p.m.