Triple

T16247632
Position Surface form Disambiguated ID Type / Status
Subject Bus Stop (play) E394414 entity
Predicate hasMainCharacter P1183 FINISHED
Object Bo Decker
Bo Decker is the brash, naive young cowboy who serves as the central romantic figure in William Inge’s play "Bus Stop."
E1201787 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 Decker | Statement: [Bus Stop (play), hasMainCharacter, Bo Decker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bo Decker
Context triple: [Bus Stop (play), hasMainCharacter, Bo Decker]
  • A. Paul Kersey
    Paul Kersey is the vigilante protagonist of the "Death Wish" film series, known for taking the law into his own hands after personal tragedy.
  • B. Clint Reilly
    Clint Reilly is a San Francisco-based political consultant, real estate investor, and former newspaper owner known for his influence in local politics and media.
  • C. Chris DeWolfe
    Chris DeWolfe is an American entrepreneur best known as the co-creator and former CEO of the pioneering social networking site MySpace.
  • D. Jordan Baxter
    Jordan Baxter is a fictional character portrayed by actor Graham Phillips, best known from his work in film and television.
  • E. Art Donovan
    Art Donovan was a Hall of Fame defensive tackle for the Baltimore Colts, renowned for his dominant play in the 1950s and his colorful, larger-than-life personality.
  • 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 Decker
Triple: [Bus Stop (play), hasMainCharacter, Bo Decker]
Generated description
Bo Decker is the brash, naive young cowboy who serves as the central romantic figure in William Inge’s play "Bus Stop."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bo Decker
Target entity description: Bo Decker is the brash, naive young cowboy who serves as the central romantic figure in William Inge’s play "Bus Stop."
  • A. Paul Kersey
    Paul Kersey is the vigilante protagonist of the "Death Wish" film series, known for taking the law into his own hands after personal tragedy.
  • B. Clint Reilly
    Clint Reilly is a San Francisco-based political consultant, real estate investor, and former newspaper owner known for his influence in local politics and media.
  • C. Chris DeWolfe
    Chris DeWolfe is an American entrepreneur best known as the co-creator and former CEO of the pioneering social networking site MySpace.
  • D. Jordan Baxter
    Jordan Baxter is a fictional character portrayed by actor Graham Phillips, best known from his work in film and television.
  • E. Art Donovan
    Art Donovan was a Hall of Fame defensive tackle for the Baltimore Colts, renowned for his dominant play in the 1950s and his colorful, larger-than-life personality.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245942460819080897afad0d2fe09 completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ee3bbc48190a56ce2807a9510f0 completed May 10, 2026, 4:51 a.m.
NEDg Description generation batch_6a000f9aecec819087cecb1edad6b710 completed May 10, 2026, 4:54 a.m.
NED2 Entity disambiguation (via description) batch_6a0010462ba881909666051b2fc38d43 completed May 10, 2026, 4:57 a.m.
Created at: April 10, 2026, 5:04 a.m.