Triple

T18401397
Position Surface form Disambiguated ID Type / Status
Subject Chitty-Chitty-Bang-Bang E450003 entity
Predicate author P4 FINISHED
Object Ian Fleming NE NERFINISHED

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 | Statement: [Chitty-Chitty-Bang-Bang, author, Ian Fleming]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ian Fleming
Context triple: [Chitty-Chitty-Bang-Bang, author, Ian Fleming]
  • A. Ian Fleming chosen
    Ian Fleming was a British author and journalist best known as the creator of the James Bond spy novels.
  • B. 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.
  • C. William Fleming
    William Fleming is a relatively common personal name shared by multiple notable individuals across fields such as politics, education, and sports.
  • D. 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.
  • E. Peter Fleming
    Peter Fleming is a central character in the television series "The Cape," known as a complex and morally ambiguous figure involved in the show's crime-ridden, superhero-driven narrative.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9fab8a8819086a9ddc0871715e0 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e5195185b08190bd3b5471cdc047b0 completed April 19, 2026, 6:05 p.m.
Created at: April 10, 2026, 10:46 a.m.