Triple

T8897699
Position Surface form Disambiguated ID Type / Status
Subject The Yankee E211846 entity
Predicate alsoKnownAs P39 FINISHED
Object Sir Boss
Sir Boss is the time-displaced 19th-century American engineer and protagonist of Mark Twain’s novel "A Connecticut Yankee in King Arthur’s Court."
 E764921 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: Sir Boss | Statement: [The Yankee, alsoKnownAs, Sir Boss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sir Boss
Context triple: [The Yankee, alsoKnownAs, Sir Boss]
  • A. Mr. Boncassen
    Mr. Boncassen is a scholarly American gentleman in Anthony Trollope’s Palliser novels, known as the learned and socially unpretentious father of Isabel Boncassen.
  • B. Mr. Sir
    Mr. Sir is the gruff, intimidating counselor at Camp Green Lake in Louis Sachar’s novel "Holes," known for his harsh treatment of the boys and his distinctive sunflower seed habit.
  • C. Chief Bogo
    Chief Bogo is a stern, no-nonsense Cape buffalo who serves as the chief of police in Disney's animated film "Zootopia."
  • D. Boss
    Boss is an autonomous robotic vehicle developed by Carnegie Mellon University that famously won the 2007 DARPA Urban Challenge for self-driving cars.
  • E. Boss
    "Boss" is an album by the American noise rock band Magik Markers, showcasing their abrasive, experimental sound.
  • 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: Sir Boss
Triple: [The Yankee, alsoKnownAs, Sir Boss]
Generated description
Sir Boss is the time-displaced 19th-century American engineer and protagonist of Mark Twain’s novel "A Connecticut Yankee in King Arthur’s Court."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sir Boss
Target entity description: Sir Boss is the time-displaced 19th-century American engineer and protagonist of Mark Twain’s novel "A Connecticut Yankee in King Arthur’s Court."
  • A. Mr. Boncassen
    Mr. Boncassen is a scholarly American gentleman in Anthony Trollope’s Palliser novels, known as the learned and socially unpretentious father of Isabel Boncassen.
  • B. Mr. Sir
    Mr. Sir is the gruff, intimidating counselor at Camp Green Lake in Louis Sachar’s novel "Holes," known for his harsh treatment of the boys and his distinctive sunflower seed habit.
  • C. Chief Bogo
    Chief Bogo is a stern, no-nonsense Cape buffalo who serves as the chief of police in Disney's animated film "Zootopia."
  • D. Boss
    Boss is an autonomous robotic vehicle developed by Carnegie Mellon University that famously won the 2007 DARPA Urban Challenge for self-driving cars.
  • E. Boss
    "Boss" is an album by the American noise rock band Magik Markers, showcasing their abrasive, experimental sound.
  • 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_69ca83918d3081909b326fa3750cb8c8 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6424a8c08190aef2aa2079dd85f1 completed April 1, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfac093034819085d8fb1832ec5d73 completed April 3, 2026, 12:01 p.m.
NEDg Description generation batch_69cfacb58f208190b5e8eeba58f1bd78 completed April 3, 2026, 12:04 p.m.
NED2 Entity disambiguation (via description) batch_69cfad6fff348190b0491ba38d2e6ce5 completed April 3, 2026, 12:07 p.m.
Created at: March 30, 2026, 6:54 p.m.