Triple

T20525771
Position Surface form Disambiguated ID Type / Status
Subject Eric Ambler E503930 entity
Predicate influenced P9 FINISHED
Object Alan Furst
Alan Furst is an American author renowned for his atmospheric historical espionage novels set in Europe on the eve of and during World War II.
 E1436349 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: Alan Furst | Statement: [Eric Ambler, influenced, Alan Furst]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alan Furst
Context triple: [Eric Ambler, influenced, Alan Furst]
  • A. Nathan Furst
    Nathan Furst is an American composer best known for scoring films and television series, particularly in the action and adventure genres.
  • B. Nicholas Ferguson
    Nicholas Ferguson is a British businessman and private equity executive best known as the founding figure behind the global investment firm Permira.
  • C. Timothy Vreeland
    Timothy Vreeland is the son of legendary fashion editor and style icon Diana Vreeland.
  • D. Leon Uris
    Leon Uris was an American novelist best known for his popular historical epics such as "Exodus" and "Mila 18," which often focused on Jewish history and the human impact of war.
  • E. John P. Marquand
    John P. Marquand was an American novelist best known for his Pulitzer Prize–winning fiction and for creating the Japanese secret agent character Mr. Moto.
  • 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: Alan Furst
Triple: [Eric Ambler, influenced, Alan Furst]
Generated description
Alan Furst is an American author renowned for his atmospheric historical espionage novels set in Europe on the eve of and during World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alan Furst
Target entity description: Alan Furst is an American author renowned for his atmospheric historical espionage novels set in Europe on the eve of and during World War II.
  • A. Nathan Furst
    Nathan Furst is an American composer best known for scoring films and television series, particularly in the action and adventure genres.
  • B. Nicholas Ferguson
    Nicholas Ferguson is a British businessman and private equity executive best known as the founding figure behind the global investment firm Permira.
  • C. Timothy Vreeland
    Timothy Vreeland is the son of legendary fashion editor and style icon Diana Vreeland.
  • D. Leon Uris
    Leon Uris was an American novelist best known for his popular historical epics such as "Exodus" and "Mila 18," which often focused on Jewish history and the human impact of war.
  • E. John P. Marquand
    John P. Marquand was an American novelist best known for his Pulitzer Prize–winning fiction and for creating the Japanese secret agent character Mr. Moto.
  • 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_69e0b4b3a6e08190ae663701f50fab8e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a06504b48190b3f1defdc23a47d5 completed April 20, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a089d4626d08190a87f07abd1380a3d completed May 16, 2026, 4:37 p.m.
NEDg Description generation batch_6a089e69e1bc8190b2975e9a810fba77 completed May 16, 2026, 4:42 p.m.
NED2 Entity disambiguation (via description) batch_6a089f4b56c48190a5e83f4678c525e3 completed May 16, 2026, 4:46 p.m.
Created at: April 16, 2026, 11:37 a.m.