Triple

T11665199
Position Surface form Disambiguated ID Type / Status
Subject Strickland E277230 entity
Predicate hasNotableBearer P458 FINISHED
Object Matthew Strickland
Matthew Strickland is a historian and academic known for his work on medieval warfare, chivalry, and the nobility in medieval England.
 E952703 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: Matthew Strickland | Statement: [Strickland, hasNotableBearer, Matthew Strickland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Matthew Strickland
Context triple: [Strickland, hasNotableBearer, Matthew Strickland]
  • A. Kyle Stevenson
    Kyle Stevenson is an individual known for being a member of the band Helmet.
  • B. Mark Strickland
    Mark Strickland is a former American professional basketball player who played as a forward in the NBA during the late 1990s and early 2000s.
  • C. Ryan Dusick
    Ryan Dusick is an American musician best known as the original drummer and a founding member of the pop rock band Maroon 5.
  • D. Garrett Snyder
    Garrett Snyder is a food writer and journalist known for co-authoring "The Pepper Thai Cookbook" with Pepper Teigen.
  • E. Michael Reaves
    Michael Reaves was an American television and animation writer best known for his work on genre series and films, including influential contributions to Batman and other science fiction and fantasy franchises.
  • 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: Matthew Strickland
Triple: [Strickland, hasNotableBearer, Matthew Strickland]
Generated description
Matthew Strickland is a historian and academic known for his work on medieval warfare, chivalry, and the nobility in medieval England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Matthew Strickland
Target entity description: Matthew Strickland is a historian and academic known for his work on medieval warfare, chivalry, and the nobility in medieval England.
  • A. Kyle Stevenson
    Kyle Stevenson is an individual known for being a member of the band Helmet.
  • B. Mark Strickland
    Mark Strickland is a former American professional basketball player who played as a forward in the NBA during the late 1990s and early 2000s.
  • C. Ryan Dusick
    Ryan Dusick is an American musician best known as the original drummer and a founding member of the pop rock band Maroon 5.
  • D. Garrett Snyder
    Garrett Snyder is a food writer and journalist known for co-authoring "The Pepper Thai Cookbook" with Pepper Teigen.
  • E. Michael Reaves
    Michael Reaves was an American television and animation writer best known for his work on genre series and films, including influential contributions to Batman and other science fiction and fantasy franchises.
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a43f438081909da476294a057c38 completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69f4171833948190adafe71ab0d9d2de completed May 1, 2026, 2:59 a.m.
NEDg Description generation batch_69f41f16f43c81909f5d36e8b4b0b9c3 completed May 1, 2026, 3:33 a.m.
NED2 Entity disambiguation (via description) batch_69f4225a4b5c8190958aaddbd10035b1 completed May 1, 2026, 3:47 a.m.
Created at: April 8, 2026, 9:39 p.m.