Triple

T2557791
Position Surface form Disambiguated ID Type / Status
Subject Devil May Care E56768 entity
Predicate featuresCharacter P626 FINISHED
Object Felix Leiter E103181 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: Felix Leiter | Statement: [Devil May Care, featuresCharacter, Felix Leiter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Felix Leiter
Context triple: [Devil May Care, featuresCharacter, Felix Leiter]
  • A. Felix Leiter chosen
    Felix Leiter is a recurring CIA operative and ally of James Bond in the James Bond franchise.
  • B. William Parcher
    William Parcher is a mysterious, menacing government agent who appears as a figment of John Nash’s delusions in the film "A Beautiful Mind."
  • C. Le Chiffre
    Le Chiffre is a notorious villain in the James Bond universe, best known as the primary antagonist and high-stakes gambler in Ian Fleming’s novel and its film adaptations.
  • D. Peter Guillam
    Peter Guillam is a loyal, resourceful British intelligence officer and close ally of spymaster George Smiley in John le Carré’s espionage novels.
  • E. Rosa Klebb
    Rosa Klebb is a fictional Soviet counterintelligence officer and SPECTRE operative who serves as the main antagonist in the James Bond novel and film "From Russia with Love," notorious for her ruthlessness and poison-tipped shoe blade.
  • 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_69ab4a4bfec081908039988ec4c86e28 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd33153fc8190aa106e23ee645f63 completed March 7, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d1d937c8190ac6b7bb405a49c3c completed March 9, 2026, 11:51 p.m.
Created at: March 6, 2026, 9:48 p.m.