Triple

T991881
Position Surface form Disambiguated ID Type / Status
Subject Thunderball E21408 entity
Predicate partOf P40 FINISHED
Object Ian Fleming James Bond canon E103372 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: Ian Fleming James Bond canon | Statement: [Thunderball, partOf, Ian Fleming James Bond canon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ian Fleming James Bond canon
Context triple: [Thunderball, partOf, Ian Fleming James Bond canon]
  • A. James Bond universe chosen
    The James Bond universe is the fictional world encompassing the espionage adventures, characters, and settings surrounding British secret agent 007 across novels and films.
  • B. Ian Fleming
    Ian Fleming was a British author and journalist best known as the creator of the James Bond spy novels.
  • C. James Bond
    James Bond is a fictional British secret agent, code-named 007, known for his espionage missions, suave demeanor, and presence in a long-running series of novels and films.
  • D. John le Carré
    John le Carré was a renowned British novelist best known for his sophisticated espionage thrillers that explored the moral ambiguities of Cold War intelligence work.
  • E. William Fleming
    William Fleming is a relatively common personal name shared by multiple notable individuals across fields such as politics, education, and sports.
  • 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_69a493c476b48190b41fc5e793171cc6 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4c25e5081909ff1ada6b8bf617a completed March 1, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac258f823c8190afeff79b6a4df911 completed March 7, 2026, 1:18 p.m.
Created at: March 1, 2026, 7:41 p.m.