Triple

T20208622
Position Surface form Disambiguated ID Type / Status
Subject From Russia, with Love E493426 entity
Predicate featuresCharacter P626 FINISHED
Object Red Grant 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: Red Grant | Statement: [From Russia, with Love, featuresCharacter, Red Grant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red Grant
Context triple: [From Russia, with Love, featuresCharacter, Red Grant]
  • A. Red Grant chosen
    Red Grant is a ruthless, psychopathic assassin and primary antagonist in the James Bond franchise, most prominently appearing as SPECTRE’s top killer in the film and novel "From Russia, with Love."
  • B. Grant Grant
    Grant Grant is a fictional character best known as the parasitically infected antagonist in the horror-comedy film "Slither."
  • C. Lawrence Grant
    Lawrence Grant was a British character actor known for his supporting roles in early 20th-century Hollywood films.
  • D. David Grant
    David Grant is the aging, cantankerous Midwestern man who embarks on a delusional road trip to claim a supposed sweepstakes prize in Alexander Payne’s film "Nebraska."
  • E. David Grant
    David Grant is a British soul and R&B singer best known as the former lead vocalist of the band Linx and for his later work as a vocal coach and television personality.
  • 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66d94999c8190b67051cb0acea213 completed April 20, 2026, 6:16 p.m.
Created at: April 11, 2026, 11:38 p.m.