Triple

T4209985
Position Surface form Disambiguated ID Type / Status
Subject Kerr E93876 entity
Predicate hasNotableBearer P458 FINISHED
Object Philip Kerr
Philip Kerr was a British author best known for his Bernie Gunther series of historical crime novels set in Nazi and post-war Germany.
 E421891 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: Philip Kerr | Statement: [Kerr, hasNotableBearer, Philip Kerr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Philip Kerr
Context triple: [Kerr, hasNotableBearer, Philip Kerr]
  • A. Len Deighton
    Len Deighton is a British author and historian best known for his spy novels, including "The IPCRESS File," and his influential works on military history.
  • B. Mick Herron
    Mick Herron is a British crime novelist best known for his acclaimed Slough House espionage series featuring disgraced MI5 agents.
  • C. Frederick Forsyth
    Frederick Forsyth is a British thriller writer renowned for his meticulously researched, politically charged novels such as "The Day of the Jackal."
  • D. Christopher Foyle
    Christopher Foyle is the principled, quietly determined British detective at the heart of the World War II-era crime drama series "Foyle's War."
  • E. Jeffrey Archer
    Jeffrey Archer is a British author and former politician best known for his bestselling novels and thrillers.
  • 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: Philip Kerr
Triple: [Kerr, hasNotableBearer, Philip Kerr]
Generated description
Philip Kerr was a British author best known for his Bernie Gunther series of historical crime novels set in Nazi and post-war Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Philip Kerr
Target entity description: Philip Kerr was a British author best known for his Bernie Gunther series of historical crime novels set in Nazi and post-war Germany.
  • A. Len Deighton
    Len Deighton is a British author and historian best known for his spy novels, including "The IPCRESS File," and his influential works on military history.
  • B. Mick Herron
    Mick Herron is a British crime novelist best known for his acclaimed Slough House espionage series featuring disgraced MI5 agents.
  • C. Frederick Forsyth
    Frederick Forsyth is a British thriller writer renowned for his meticulously researched, politically charged novels such as "The Day of the Jackal."
  • D. Christopher Foyle
    Christopher Foyle is the principled, quietly determined British detective at the heart of the World War II-era crime drama series "Foyle's War."
  • E. Jeffrey Archer
    Jeffrey Archer is a British author and former politician best known for his bestselling novels and thrillers.
  • 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_69b3451743608190808f41d17ccf2650 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b34810de648190b09c5e705cf0a74e completed March 12, 2026, 11:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5962ec4f8819085bef81ce71aa132 completed March 14, 2026, 5:09 p.m.
NEDg Description generation batch_69b596eb6c288190a63c61d5e71c609b completed March 14, 2026, 5:12 p.m.
NED2 Entity disambiguation (via description) batch_69b59788ef308190a34c2f23f22a7e4d completed March 14, 2026, 5:14 p.m.
Created at: March 12, 2026, 11:03 p.m.