Triple

T1129194
Position Surface form Disambiguated ID Type / Status
Subject Kallistos Ware E24788 entity
Predicate familyName P18 FINISHED
Object Ware
Ware is a surname most notably associated with Kallistos Ware, a prominent Eastern Orthodox bishop and theologian.
 E47937 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: [Kallistos Ware, familyName, Ware]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ware
Context triple: [Kallistos 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. WD
    WD is a consumer-facing brand of Western Digital known for its hard drives, solid-state drives, and other data storage products.
  • C. EA
    EA is the commonly used abbreviation for the Environment Agency, the public body responsible for environmental protection and regulation in England.
  • D. 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.
  • E. Meta
    Meta is a multinational technology company best known as the parent of Facebook, Instagram, and WhatsApp, focusing on social media platforms and virtual/augmented reality technologies.
  • 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: [Kallistos Ware, familyName, Ware]
Generated description
Ware is a surname most notably associated with Kallistos Ware, a prominent Eastern Orthodox bishop and theologian.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ware
Target entity description: Ware is a surname most notably associated with Kallistos Ware, a prominent Eastern Orthodox bishop and theologian.
  • A. Ware chosen
    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. WD
    WD is a consumer-facing brand of Western Digital known for its hard drives, solid-state drives, and other data storage products.
  • C. EA
    EA is the commonly used abbreviation for the Environment Agency, the public body responsible for environmental protection and regulation in England.
  • D. 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.
  • E. Meta
    Meta is a multinational technology company best known as the parent of Facebook, Instagram, and WhatsApp, focusing on social media platforms and virtual/augmented reality technologies.
  • F. None of above.

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_69a4940712c88190aa244f3fc6070a65 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bbdea9b88190a88da718bf5c1897 completed March 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac59a82bb8819084f77aff9af653c0 completed March 7, 2026, 5 p.m.
NEDg Description generation batch_69ac5a97f1408190855d8ea4f4317b07 completed March 7, 2026, 5:04 p.m.
NED2 Entity disambiguation (via description) batch_69ac5b1b5930819098f511db269e991d completed March 7, 2026, 5:06 p.m.
Created at: March 1, 2026, 7:44 p.m.