Triple

T14173132
Position Surface form Disambiguated ID Type / Status
Subject Knight Riders E351260 entity
Predicate mainCharacter P1183 FINISHED
Object Morgan
Morgan is the central protagonist of the "Knight Riders" film, around whom the story’s modern-day jousting troupe and its conflicts revolve.
 E1083520 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: Morgan | Statement: [Knight Riders, mainCharacter, Morgan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Morgan
Context triple: [Knight Riders, mainCharacter, Morgan]
  • A. Morgan
    Morgan is a Chicago 'L' rapid transit station on the Near West Side serving the city's Pink and Green Lines.
  • B. Morgan
    Morgan is a common Welsh surname with deep cultural and historical roots in Wales and among people of Welsh descent.
  • C. Morgan
    Morgan is a given name most famously associated with acclaimed American actor and narrator Morgan Freeman.
  • D. Morgan
    Morgan is a 2016 science fiction horror film about a genetically engineered human hybrid whose violent behavior leads to a crisis among the scientists who created her.
  • E. Morgan
    Morgan is the party that successfully defended the constitutionality of a key provision of the Voting Rights Act in the landmark U.S. Supreme Court case Katzenbach v. Morgan.
  • 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: Morgan
Triple: [Knight Riders, mainCharacter, Morgan]
Generated description
Morgan is the central protagonist of the "Knight Riders" film, around whom the story’s modern-day jousting troupe and its conflicts revolve.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Morgan
Target entity description: Morgan is the central protagonist of the "Knight Riders" film, around whom the story’s modern-day jousting troupe and its conflicts revolve.
  • A. Morgan
    Morgan is the central protagonist of the novel "The Big House," around whom the story’s main events and character dynamics revolve.
  • B. Morgan
    Morgan is a central antagonist and powerful sorceress in the TV series "Camelot," often depicted as King Arthur’s ambitious and scheming half-sister.
  • C. Morgan
    Morgan is a 2016 science fiction horror film about a genetically engineered human hybrid whose violent behavior leads to a crisis among the scientists who created her.
  • D. Morgan
    Morgan is a given name used by the American documentary filmmaker Morgan Neville.
  • E. Morgan
    Morgan is a given name most famously associated with acclaimed American actor and narrator Morgan Freeman.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b5dcbc8190b0cfcce5e6c6d582 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf80a9b34819081c4ebf7429e875a completed May 7, 2026, 8:37 p.m.
NEDg Description generation batch_69fd03511f048190a9f1eea0e37aef31 completed May 7, 2026, 9:25 p.m.
NED2 Entity disambiguation (via description) batch_69fd0406a770819082aeec43037f1243 completed May 7, 2026, 9:28 p.m.
Created at: April 10, 2026, 1:01 a.m.