Triple

T17036532
Position Surface form Disambiguated ID Type / Status
Subject Last Stop E413333 entity
Predicate hasMainCharacter P1183 FINISHED
Object John Smith
John Smith is the protagonist of the narrative work "Last Stop," around whom the story’s central events and conflicts revolve.
E1245966 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: John Smith | Statement: [Last Stop, hasMainCharacter, John Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Smith
Context triple: [Last Stop, hasMainCharacter, John Smith]
  • A. John
    John is the birth name of American actor Jack Lemmon, a celebrated star of classic films such as "Some Like It Hot" and "The Apartment."
  • B. John
    John is the birth name of American actor, singer, and dancer Jack Haley, best known for playing the Tin Man in the classic film "The Wizard of Oz."
  • C. John
    John C. Calhoun was a prominent 19th-century American statesman and political theorist who served as U.S. vice president, senator, and a leading proponent of states’ rights and slavery.
  • D. John
    John Martin was an English Romantic painter, engraver, and illustrator known for his dramatic, apocalyptic landscapes and vast biblical scenes.
  • E. John
    John is the given name of American character actor John McGiver, known for his distinctive, pompous persona in mid-20th-century film and television.
  • 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: John Smith
Triple: [Last Stop, hasMainCharacter, John Smith]
Generated description
John Smith is the protagonist of the narrative work "Last Stop," around whom the story’s central events and conflicts revolve.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John Smith
Target entity description: John Smith is the protagonist of the narrative work "Last Stop," around whom the story’s central events and conflicts revolve.
  • A. John Smith
    John Smith is an individual known primarily as the husband of Jane Smith.
  • B. John Smith
    John Smith is a person whose formal given name is John but who is also known by the nickname Johnny Smith.
  • C. John Smith
    John Smith is a high-ranking Nazi official in the alternate-history television series "The Man in the High Castle," whose loyalty, ambition, and moral conflicts drive much of the show's central drama.
  • D. John Smith
    John Smith was an English soldier, explorer, and leader who played a pivotal role in the establishment and survival of the Jamestown colony in early colonial Virginia.
  • E. John Smith
    John Smith is a professional employer or business figure who has Joe Blake among his staff or associates.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d8f26f50819085dfd0fbecd6394d completed April 18, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b5b71f48190b6c865d57668b5d1 completed May 10, 2026, 11:57 p.m.
NEDg Description generation batch_6a011c2203f0819091a5b4aa7c339585 completed May 11, 2026, midnight
NED2 Entity disambiguation (via description) batch_6a011cc70cb08190b53b6a7402139f93 completed May 11, 2026, 12:03 a.m.
Created at: April 10, 2026, 5:33 a.m.