Triple

T15992459
Position Surface form Disambiguated ID Type / Status
Subject Jessica Henwick E387866 entity
Predicate playedCharacter P1507 FINISHED
Object Bo
Bo is a fictional character portrayed by British actress Jessica Henwick, known from her work in film and television.
 E1187326 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: Bo | Statement: [Jessica Henwick, playedCharacter, Bo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bo
Context triple: [Jessica Henwick, playedCharacter, Bo]
  • A. Bo
    Bo is the second-largest city in Sierra Leone and a major economic and educational center in the country's Southern Province.
  • B. Bo
    Bo was an extinct indigenous language of the Great Andamanese people, once spoken in the Andaman Islands of India.
  • C. Bo
    Bo was the Portuguese Water Dog who served as one of the Obama family's beloved First Pets during Barack Obama's presidency.
  • D. Bo
    Bo is the widely known nickname of legendary American college football coach Bo Schembechler, famed for his long tenure at the University of Michigan.
  • E. Bo
    Bo is the widely used nickname of Bo Jackson, the legendary American multi-sport athlete who excelled in both professional baseball and football.
  • 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: Bo
Triple: [Jessica Henwick, playedCharacter, Bo]
Generated description
Bo is a fictional character portrayed by British actress Jessica Henwick, known from her work in film and television.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bo
Target entity description: Bo is a fictional character portrayed by British actress Jessica Henwick, known from her work in film and television.
  • A. Bo
    Bo is the nickname of American actor Bo Hopkins, known for his tough-guy roles in films like "American Graffiti" and "The Wild Bunch."
  • B. Bo
    Bo is the widely used nickname of Bo Jackson, the legendary American multi-sport athlete who excelled in both professional baseball and football.
  • C. Bo
    Bo is a masculine given name commonly used in Scandinavian countries and parts of Europe.
  • D. Bo
    Bo was the Portuguese Water Dog who served as one of the Obama family's beloved First Pets during Barack Obama's presidency.
  • E. Bo
    Bo was an extinct indigenous language of the Great Andamanese people, once spoken in the Andaman Islands of India.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157844ed881908b42bfc1bb740d4e completed April 16, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3d3ef2881909213ff608192f1ef completed May 9, 2026, 11:31 p.m.
NEDg Description generation batch_69ffc47bce748190a651fff307aad88d completed May 9, 2026, 11:34 p.m.
NED2 Entity disambiguation (via description) batch_69ffc4e14e1881909210a78426546e88 completed May 9, 2026, 11:36 p.m.
Created at: April 10, 2026, 4:54 a.m.