Triple

T4526513
Position Surface form Disambiguated ID Type / Status
Subject University of Evansville E106190 entity
Predicate hasAlumnus P51 FINISHED
Object David Weir
David Weir is a British Paralympic wheelchair racer and multiple gold medalist renowned for his achievements on the track and in major marathons.
E450075 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: David Weir | Statement: [University of Evansville, hasAlumnus, David Weir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Weir
Context triple: [University of Evansville, hasAlumnus, David Weir]
  • A. Chris Hoy
    Chris Hoy is an American politician who serves as the mayor of Salem, Oregon.
  • B. Chris Hoy
    Chris Hoy is a British former track cyclist and multiple Olympic and world champion, widely regarded as one of the most successful cyclists in history.
  • C. Gordon Reid
    Gordon Reid is a Scottish wheelchair tennis player and multiple Grand Slam champion who has also won Paralympic gold.
  • D. Scot Armstrong
    Scot Armstrong is an American screenwriter and producer known for his work on hit comedy films such as "Old School," "Road Trip," and "The Hangover Part II."
  • E. David Millar
    David Millar is a retired Scottish professional road cyclist known for his time-trialling prowess, Grand Tour stage wins, and outspoken advocacy against doping following his own suspension.
  • 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: David Weir
Triple: [University of Evansville, hasAlumnus, David Weir]
Generated description
David Weir is a British Paralympic wheelchair racer and multiple gold medalist renowned for his achievements on the track and in major marathons.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: David Weir
Target entity description: David Weir is a British Paralympic wheelchair racer and multiple gold medalist renowned for his achievements on the track and in major marathons.
  • A. Chris Hoy
    Chris Hoy is a British former track cyclist and multiple Olympic and world champion, widely regarded as one of the most successful cyclists in history.
  • B. Chris Hoy
    Chris Hoy is an American politician who serves as the mayor of Salem, Oregon.
  • C. Gordon Reid
    Gordon Reid is a Scottish wheelchair tennis player and multiple Grand Slam champion who has also won Paralympic gold.
  • D. Scot Armstrong
    Scot Armstrong is an American screenwriter and producer known for his work on hit comedy films such as "Old School," "Road Trip," and "The Hangover Part II."
  • E. David Millar
    David Millar is a retired Scottish professional road cyclist known for his time-trialling prowess, Grand Tour stage wins, and outspoken advocacy against doping following his own suspension.
  • 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_69bd43f3d6e08190a91824f833d51bbe completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57760f4481908f69ce82be63d7f8 completed March 20, 2026, 2:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69bda44fcec48190a1430b4e74ec30fb completed March 20, 2026, 7:47 p.m.
NEDg Description generation batch_69bda5b564648190ab2badb264910185 completed March 20, 2026, 7:53 p.m.
NED2 Entity disambiguation (via description) batch_69bda658568c8190bf97e4328e3799be completed March 20, 2026, 7:56 p.m.
Created at: March 20, 2026, 1:03 p.m.