Triple

T864421
Position Surface form Disambiguated ID Type / Status
Subject Fleming E18669 entity
Predicate hasNotableBearer P458 FINISHED
Object William Fleming
William Fleming is a relatively common personal name shared by multiple notable individuals across fields such as politics, education, and sports.
 E105583 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: William Fleming | Statement: [Fleming, hasNotableBearer, William Fleming]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: William Fleming
Context triple: [Fleming, hasNotableBearer, William Fleming]
  • A. Peter Fleming
    Peter Fleming was a British travel writer, journalist, and adventurer, best known for his travel books and for his work as a wartime intelligence officer.
  • B. Ian Fleming
    Ian Fleming was a British author and journalist best known as the creator of the James Bond spy novels.
  • C. Jack Higgins
    Jack Higgins was a bestselling British thriller novelist, best known for his World War II espionage novel "The Eagle Has Landed."
  • D. Edgar Wallace
    Edgar Wallace was a prolific British writer best known for his crime novels and for contributing to the original story that inspired the 1933 film "King Kong."
  • E. Hamish Hamilton
    Hamish Hamilton is a renowned British publishing imprint known for literary fiction and non-fiction by prominent international authors.
  • 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: William Fleming
Triple: [Fleming, hasNotableBearer, William Fleming]
Generated description
William Fleming is a relatively common personal name shared by multiple notable individuals across fields such as politics, education, and sports.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: William Fleming
Target entity description: William Fleming is a relatively common personal name shared by multiple notable individuals across fields such as politics, education, and sports.
  • A. Peter Fleming
    Peter Fleming was a British travel writer, journalist, and adventurer, best known for his travel books and for his work as a wartime intelligence officer.
  • B. Ian Fleming
    Ian Fleming was a British author and journalist best known as the creator of the James Bond spy novels.
  • C. Jack Higgins
    Jack Higgins was a bestselling British thriller novelist, best known for his World War II espionage novel "The Eagle Has Landed."
  • D. Edgar Wallace
    Edgar Wallace was a prolific British writer best known for his crime novels and for contributing to the original story that inspired the 1933 film "King Kong."
  • E. Hamish Hamilton
    Hamish Hamilton is a renowned British publishing imprint known for literary fiction and non-fiction by prominent international authors.
  • 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_69a4938ce8688190a24bdfef82ba7d21 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac6956488190a5644cdd5b55684f completed March 1, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c018d28881909a3f032e1435970a completed March 4, 2026, 5:16 a.m.
NEDg Description generation batch_69a7c21c20688190b7cc593aeb232683 completed March 4, 2026, 5:24 a.m.
NED2 Entity disambiguation (via description) batch_69a7c28c20888190a4d81b45477086bc completed March 4, 2026, 5:26 a.m.
Created at: March 1, 2026, 7:39 p.m.