Triple

T1129228
Position Surface form Disambiguated ID Type / Status
Subject Kallistos Ware E24788 entity
Predicate title P38 FINISHED
Object Metropolitan
Metropolitan is a senior bishop rank in the Eastern Orthodox Church, typically overseeing a large or important diocese or region.
E129916 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: Metropolitan | Statement: [Kallistos Ware, title, Metropolitan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metropolitan
Context triple: [Kallistos Ware, title, Metropolitan]
  • A. New Metropolis
    New Metropolis was the original name of Amsterdam’s futuristic, hands-on science and technology center now known as the NEMO Science Museum.
  • B. Maximum City
    Maximum City is a popular nickname for Mumbai that reflects its vast scale, intense energy, and extreme contrasts in wealth, culture, and daily life.
  • C. Central City
    Central City is a major urban area in New Orleans known for its historic neighborhoods, cultural diversity, and role in the city’s social and commercial life.
  • D. Chocolate City
    Chocolate City is a popular nickname for Washington, D.C., highlighting its historically large and influential African American population and culture.
  • E. The City
    The City is a common nickname for Manhattan, the densely populated and iconic borough of New York City known for its skyscrapers, cultural landmarks, and role as a global financial and media hub.
  • 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: Metropolitan
Triple: [Kallistos Ware, title, Metropolitan]
Generated description
Metropolitan is a senior bishop rank in the Eastern Orthodox Church, typically overseeing a large or important diocese or region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Metropolitan
Target entity description: Metropolitan is a senior bishop rank in the Eastern Orthodox Church, typically overseeing a large or important diocese or region.
  • A. New Metropolis
    New Metropolis was the original name of Amsterdam’s futuristic, hands-on science and technology center now known as the NEMO Science Museum.
  • B. Maximum City
    Maximum City is a popular nickname for Mumbai that reflects its vast scale, intense energy, and extreme contrasts in wealth, culture, and daily life.
  • C. Central City
    Central City is a major urban area in New Orleans known for its historic neighborhoods, cultural diversity, and role in the city’s social and commercial life.
  • D. Chocolate City
    Chocolate City is a popular nickname for Washington, D.C., highlighting its historically large and influential African American population and culture.
  • E. The City
    The City is a common nickname for Manhattan, the densely populated and iconic borough of New York City known for its skyscrapers, cultural landmarks, and role as a global financial and media hub.
  • 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_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.