Triple

T873005
Position Surface form Disambiguated ID Type / Status
Subject Peter Fleming E18855 entity
Predicate name P16 FINISHED
Object Peter Fleming E18855 NE FINISHED

How this triple was built (2 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: Peter Fleming | Statement: [Peter Fleming, name, Peter Fleming]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Fleming
Context triple: [Peter Fleming, name, Peter Fleming]
  • A. Peter Fleming chosen
    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. William Fleming
    William Fleming is a relatively common personal name shared by multiple notable individuals across fields such as politics, education, and sports.
  • C. Ian Fleming
    Ian Fleming was a British author and journalist best known as the creator of the James Bond spy novels.
  • D. Jack Higgins
    Jack Higgins was a bestselling British thriller novelist, best known for his World War II espionage novel "The Eagle Has Landed."
  • 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.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a4938db1f081909bcd1ad2713b6096 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac97d0f88190b67fcb7fc058e4b9 completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac16f749dc819097231c0becb4150b completed March 7, 2026, 12:15 p.m.
Created at: March 1, 2026, 7:39 p.m.