Triple

T10701713
Position Surface form Disambiguated ID Type / Status
Subject Sir Frederick Bridge E252292 entity
Predicate familyName P18 FINISHED
Object Bridge
Bridge is a common English surname borne by various notable individuals, including figures in music, sports, and public life.
E880249 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: Bridge | Statement: [Sir Frederick Bridge, familyName, Bridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bridge
Context triple: [Sir Frederick Bridge, familyName, Bridge]
  • A. Bridge
    Bridge is a structural design pattern that decouples an abstraction from its implementation so that the two can vary independently.
  • B. Bridge (formerly)
    Bridge (formerly) is a corporate learning and employee development platform that helps organizations deliver training, track performance, and improve workforce engagement.
  • C. The Bridge
    The Bridge is the commonly used nickname for Stamford Bridge, the historic home stadium of Chelsea Football Club in London.
  • D. The Bridge
    The Bridge is an American crime drama television series in which Diane Kruger stars as a brilliant but socially awkward detective investigating cross-border murders on the U.S.–Mexico frontier.
  • E. The Bridge
    The Bridge is the English translation of "Die Brücke," the name of the influential early 20th-century German Expressionist artist group.
  • 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: Bridge
Triple: [Sir Frederick Bridge, familyName, Bridge]
Generated description
Bridge is a common English surname borne by various notable individuals, including figures in music, sports, and public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bridge
Target entity description: Bridge is a common English surname borne by various notable individuals, including figures in music, sports, and public life.
  • A. Bridge
    Bridge is a structural design pattern that decouples an abstraction from its implementation so that the two can vary independently.
  • B. Bridge (formerly)
    Bridge (formerly) is a corporate learning and employee development platform that helps organizations deliver training, track performance, and improve workforce engagement.
  • C. The Bridge
    The Bridge is the English translation of "Die Brücke," the name of the influential early 20th-century German Expressionist artist group.
  • D. The Bridge
    The Bridge is the commonly used nickname for Stamford Bridge, the historic home stadium of Chelsea Football Club in London.
  • E. The Bridge
    The Bridge is a film or television work featuring German actress Franka Potente, known for her intense and dynamic performances.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd8c835c8190bf1a67ee94195926 completed April 9, 2026, 1:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69d998f5cda081909932daa3c98f8b46 completed April 11, 2026, 12:42 a.m.
NEDg Description generation batch_69d99e8534688190b312b737e0b9cd53 completed April 11, 2026, 1:06 a.m.
NED2 Entity disambiguation (via description) batch_69da625a1e8c8190b282e7a70bb7c876 completed April 11, 2026, 3:01 p.m.
Created at: April 8, 2026, 9:12 p.m.