Triple

T3319047
Position Surface form Disambiguated ID Type / Status
Subject R. Kelly E69748 entity
Predicate notableWork P4 FINISHED
Object Gotham City
Gotham City is a fictional, crime-ridden metropolis in the DC Comics universe best known as the primary setting for Batman’s stories.
 E127940 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: Gotham City | Statement: [R. Kelly, notableWork, Gotham City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gotham City
Context triple: [R. Kelly, notableWork, Gotham City]
  • A. Gotham City
    Gotham City is the dark, crime-ridden fictional metropolis that serves as Batman’s primary setting and symbolizes urban corruption and decay in the DC Comics universe.
  • B. Star City
    Star City is a commonly used nickname for the city of Lincoln, Nebraska.
  • C. Gem City
    Gem City is the well-known nickname for Dayton, Ohio, reflecting the city's historic prosperity and regional significance.
  • D. Gotham
    Gotham is a television crime drama series that explores the origins of Batman’s iconic allies and villains in a gritty, pre-Batman version of the infamous DC Comics city.
  • E. Hat City
    Hat City is the nickname of Danbury, Connecticut, reflecting its historic prominence as a major center of hat manufacturing in the United States.
  • 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: Gotham City
Triple: [R. Kelly, notableWork, Gotham City]
Generated description
Gotham City is a fictional, crime-ridden metropolis in the DC Comics universe best known as the primary setting for Batman’s stories.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gotham City
Target entity description: Gotham City is a fictional, crime-ridden metropolis in the DC Comics universe best known as the primary setting for Batman’s stories.
  • A. Gotham City chosen
    Gotham City is the dark, crime-ridden fictional metropolis that serves as Batman’s primary setting and symbolizes urban corruption and decay in the DC Comics universe.
  • B. Star City
    Star City is a commonly used nickname for the city of Lincoln, Nebraska.
  • C. Gem City
    Gem City is the well-known nickname for Dayton, Ohio, reflecting the city's historic prosperity and regional significance.
  • D. Gotham
    Gotham is a television crime drama series that explores the origins of Batman’s iconic allies and villains in a gritty, pre-Batman version of the infamous DC Comics city.
  • E. Hat City
    Hat City is the nickname of Danbury, Connecticut, reflecting its historic prominence as a major center of hat manufacturing in the United States.
  • 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_69ad85a0bb048190a5458d2738012d61 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1151f3c8190911af4edac701116 completed March 8, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f40055a48190afe401a488d3ae34 completed March 12, 2026, 5:12 p.m.
NEDg Description generation batch_69b2fa0f9c348190a1d48003b96761a9 completed March 12, 2026, 5:38 p.m.
NED2 Entity disambiguation (via description) batch_69b3094548788190aac61165a982e5e9 completed March 12, 2026, 6:43 p.m.
Created at: March 8, 2026, 3:11 p.m.