Triple

T19754650
Position Surface form Disambiguated ID Type / Status
Subject Un Lun Dun E474471 entity
Predicate mainCharacter P1183 FINISHED
Object Jones
Jones is a central character in China Miéville’s fantasy novel "Un Lun Dun," playing a key role in the protagonists’ journey through the bizarre alternate city.
E1394743 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: Jones | Statement: [Un Lun Dun, mainCharacter, Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jones
Context triple: [Un Lun Dun, mainCharacter, Jones]
  • A. John
    John is the given name of the prominent American architect John Russell Pope, known for designing monumental buildings in Washington, D.C.
  • B. John
    John is the given name of John J. Pershing, the famed American general who led the American Expeditionary Forces in World War I.
  • C. John
    John is the birth name of American author Jack London, famed for adventure novels like "The Call of the Wild" and "White Fang."
  • D. John
    John II of France was a 14th-century King of France, known as "John the Good," whose reign was marked by the Hundred Years' War and his capture at the Battle of Poitiers.
  • E. John
    John is the given name of American actor John Dall, known for his roles in classic films such as "Rope" and "Gun Crazy."
  • 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: Jones
Triple: [Un Lun Dun, mainCharacter, Jones]
Generated description
Jones is a central character in China Miéville’s fantasy novel "Un Lun Dun," playing a key role in the protagonists’ journey through the bizarre alternate city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jones
Target entity description: Jones is a central character in China Miéville’s fantasy novel "Un Lun Dun," playing a key role in the protagonists’ journey through the bizarre alternate city.
  • A. Jones
    Jones is a common English-language surname borne by numerous notable individuals across fields such as entertainment, sports, politics, and science.
  • B. Jones
    Jones is a municipality in the Philippine province of Isabela, known primarily for its agricultural economy and rural communities.
  • C. John
    John is the given name of the British philosopher of language J. L. Austin, known for developing speech act theory.
  • D. John
    John of Cornwall was a 12th-century Cornish scholar and theologian known for his Latin writings and contributions to medieval intellectual life.
  • E. John
    John "Johnny" Weir is an American figure skater and television commentator known for his artistic style on the ice and flamboyant public persona.
  • 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6529dada081909c5b4d65247c6032 completed April 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07bd67064081908839a408b0e746e1 completed May 16, 2026, 12:42 a.m.
NEDg Description generation batch_6a07bde28e848190aaa9c4a06b31bdb6 completed May 16, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_6a07bed4c8d8819094fafce7eee69ee7 completed May 16, 2026, 12:48 a.m.
Created at: April 10, 2026, 1:48 p.m.