Triple

T16525381
Position Surface form Disambiguated ID Type / Status
Subject The Hard Way E401420 entity
Predicate featuresCharacter P626 FINISHED
Object Edward Lane
Edward Lane is a fictional character, likely a central figure in the thriller novel "The Hard Way" by Lee Child.
E1217999 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: Edward Lane | Statement: [The Hard Way, featuresCharacter, Edward Lane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edward Lane
Context triple: [The Hard Way, featuresCharacter, Edward Lane]
  • A. Richard Lane
    Richard Lane was a co-founder of the British publishing house Penguin Books, which became famous for pioneering affordable, high-quality paperback editions.
  • B. Richard Lane
    Richard Lane was an American character actor and announcer known for his prolific work in film and early television, often playing fast-talking reporters or authority figures.
  • C. Edward Talbot
    Edward Talbot was an Anglican clergyman who became the inaugural Bishop of Southwark in the Church of England.
  • D. Philip Hudson
    Philip Hudson was an Australian architect best known for co-designing Melbourne’s iconic Shrine of Remembrance war memorial.
  • E. Charles Lane
    Charles Lane was a 19th-century English transcendentalist and social reformer who co-founded the short-lived Fruitlands utopian community in Massachusetts with Bronson Alcott.
  • 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: Edward Lane
Triple: [The Hard Way, featuresCharacter, Edward Lane]
Generated description
Edward Lane is a fictional character, likely a central figure in the thriller novel "The Hard Way" by Lee Child.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Edward Lane
Target entity description: Edward Lane is a fictional character, likely a central figure in the thriller novel "The Hard Way" by Lee Child.
  • A. Richard Lane
    Richard Lane was a co-founder of the British publishing house Penguin Books, which became famous for pioneering affordable, high-quality paperback editions.
  • B. Richard Lane
    Richard Lane was an American character actor and announcer known for his prolific work in film and early television, often playing fast-talking reporters or authority figures.
  • C. Edward Talbot
    Edward Talbot was an Anglican clergyman who became the inaugural Bishop of Southwark in the Church of England.
  • D. Philip Hudson
    Philip Hudson was an Australian architect best known for co-designing Melbourne’s iconic Shrine of Remembrance war memorial.
  • E. Charles Lane
    Charles Lane was a prolific American character actor known for his portrayals of stern, officious men in hundreds of films and television shows across a career spanning more than 60 years.
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32ed323c081908218460aa4ae3cf6 completed April 18, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00608d36dc8190a094fa4513147c85 completed May 10, 2026, 10:40 a.m.
NEDg Description generation batch_6a0061a6e1e88190a5efe0430db0bd9b completed May 10, 2026, 10:44 a.m.
NED2 Entity disambiguation (via description) batch_6a00627908988190803707069872e4c5 completed May 10, 2026, 10:48 a.m.
Created at: April 10, 2026, 5:14 a.m.