Triple

T3417894
Position Surface form Disambiguated ID Type / Status
Subject DeMarcus Ware E72053 entity
Predicate familyName P18 FINISHED
Object Ware
Ware is a surname most prominently associated with DeMarcus Ware, a former NFL linebacker and defensive end known for his prolific pass-rushing career.
 E356752 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: Ware | Statement: [DeMarcus Ware, familyName, Ware]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ware
Context triple: [DeMarcus Ware, familyName, Ware]
  • A. Ware
    Ware was the plaintiff in the landmark U.S. Supreme Court case Ware v. Hylton, which addressed the supremacy of federal treaties over conflicting state laws.
  • B. Ware
    Ware is a historic market town in Hertfordshire, England, known for its riverside setting on the River Lea and its long-standing role as a local commercial and coaching center.
  • C. WD
    WD is a consumer-facing brand of Western Digital known for its hard drives, solid-state drives, and other data storage products.
  • D. EA
    EA is the commonly used abbreviation for the Environment Agency, the public body responsible for environmental protection and regulation in England.
  • E. WHD
    WHD is the U.S. Department of Labor’s Wage and Hour Division, the federal agency responsible for enforcing minimum wage, overtime pay, child labor, and other key labor standards.
  • 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: Ware
Triple: [DeMarcus Ware, familyName, Ware]
Generated description
Ware is a surname most prominently associated with DeMarcus Ware, a former NFL linebacker and defensive end known for his prolific pass-rushing career.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ware
Target entity description: Ware is a surname most prominently associated with DeMarcus Ware, a former NFL linebacker and defensive end known for his prolific pass-rushing career.
  • A. Ware
    Ware was the plaintiff in the landmark U.S. Supreme Court case Ware v. Hylton, which addressed the supremacy of federal treaties over conflicting state laws.
  • B. Ware
    Ware is a historic market town in Hertfordshire, England, known for its riverside setting on the River Lea and its long-standing role as a local commercial and coaching center.
  • C. WD
    WD is a consumer-facing brand of Western Digital known for its hard drives, solid-state drives, and other data storage products.
  • D. EA
    EA is the commonly used abbreviation for the Environment Agency, the public body responsible for environmental protection and regulation in England.
  • E. WHD
    WHD is the U.S. Department of Labor’s Wage and Hour Division, the federal agency responsible for enforcing minimum wage, overtime pay, child labor, and other key labor standards.
  • 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_69ad85ad38e48190b7660c5118a35289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb92df1e48190bbf22a47e44579f1 completed March 8, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3546c88008190980a51195251af91 completed March 13, 2026, 12:03 a.m.
NEDg Description generation batch_69b355a7dc308190ba8ab0db251592a2 completed March 13, 2026, 12:09 a.m.
NED2 Entity disambiguation (via description) batch_69b3566da174819086160cd254e0a443 completed March 13, 2026, 12:12 a.m.
Created at: March 8, 2026, 3:15 p.m.