Triple

T5453817
Position Surface form Disambiguated ID Type / Status
Subject The Taking of Pelham One Two Three E122429 entity
Predicate mainCharacter P1183 FINISHED
Object Mr. Green
Mr. Green is one of the central hijackers in the thriller novel and film "The Taking of Pelham One Two Three," known for his role in the subway train hostage plot.
 E520779 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: Mr. Green | Statement: [The Taking of Pelham One Two Three, mainCharacter, Mr. Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mr. Green
Context triple: [The Taking of Pelham One Two Three, mainCharacter, Mr. Green]
  • A. Mr. Green
    Mr. Green is a musical act associated with Malik B., known for its work in hip-hop.
  • B. Mr. Jones
    "Mr. Jones" is a hit alternative rock song by Counting Crows, known for its introspective lyrics about fame, dreams, and identity.
  • C. Mr. Brown
    Mr. Brown is the kind-hearted but often flustered father figure from the "Paddington" film series.
  • D. Mr. Red
    Mr. Red is a Cincinnati Reds-themed mascot character who appears alongside Rosie Red in the team’s mascot universe.
  • E. Mr. Nice
    Mr. Nice is a 2010 biographical crime film in which Rhys Ifans portrays real-life Welsh drug smuggler Howard Marks.
  • 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: Mr. Green
Triple: [The Taking of Pelham One Two Three, mainCharacter, Mr. Green]
Generated description
Mr. Green is one of the central hijackers in the thriller novel and film "The Taking of Pelham One Two Three," known for his role in the subway train hostage plot.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mr. Green
Target entity description: Mr. Green is one of the central hijackers in the thriller novel and film "The Taking of Pelham One Two Three," known for his role in the subway train hostage plot.
  • A. Mr. Green
    Mr. Green is a musical act associated with Malik B., known for its work in hip-hop.
  • B. Mr. Jones
    "Mr. Jones" is a hit alternative rock song by Counting Crows, known for its introspective lyrics about fame, dreams, and identity.
  • C. Mr. Brown
    Mr. Brown is the kind-hearted but often flustered father figure from the "Paddington" film series.
  • D. Mr. Red
    Mr. Red is a Cincinnati Reds-themed mascot character who appears alongside Rosie Red in the team’s mascot universe.
  • E. Mr. Nice
    Mr. Nice is a 2010 biographical crime film in which Rhys Ifans portrays real-life Welsh drug smuggler Howard Marks.
  • 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_69bd46424248819085282ddf50a565f3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91e170f48190b47419b5e2ff71a4 completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf4140248081908c7f42b91579a837 completed March 22, 2026, 1:09 a.m.
NEDg Description generation batch_69bf41dd96448190973b7241df5dbb24 completed March 22, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_69bf42b97d40819087a98c1cc58bb964 completed March 22, 2026, 1:15 a.m.
Created at: March 20, 2026, 2:08 p.m.