Triple

T15977300
Position Surface form Disambiguated ID Type / Status
Subject Nomi E387480 entity
Predicate appearsAlongside P25756 FINISHED
Object Moneypenny E109338 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: Moneypenny | Statement: [Nomi, appearsAlongside, Moneypenny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moneypenny
Context triple: [Nomi, appearsAlongside, Moneypenny]
  • A. Miss Moneypenny chosen
    Miss Moneypenny is the loyal and witty secretary to M in the James Bond series, known for her playful, unfulfilled romantic tension with 007.
  • B. Irene Adler
    Irene Adler is a brilliant and resourceful opera singer and adventuress best known as the only woman to outwit Sherlock Holmes in Arthur Conan Doyle’s detective stories.
  • C. Charles Moneypenny
    Charles Moneypenny was an architect best known for designing the high-banked Daytona International Speedway, a landmark American motorsports venue.
  • D. Jane Bond
    Jane Bond is an individual known primarily through her familial connection by marriage to Alice Clopton.
  • E. Emma Peel
    Emma Peel is a stylish, intelligent, and martial arts–skilled secret agent who became an iconic heroine of the 1960s British television series "The Avengers."
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157521f6c8190a54023b5ee6fc033 completed April 16, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe8e4124819084c2937f532f5ab5 completed May 9, 2026, 11:09 p.m.
Created at: April 10, 2026, 4:54 a.m.