Triple

T17890733
Position Surface form Disambiguated ID Type / Status
Subject Vesper Lynd E447308 entity
Predicate fullName P16 FINISHED
Object Vesper Lynd 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: Vesper Lynd | Statement: [Vesper Lynd, fullName, Vesper Lynd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vesper Lynd
Context triple: [Vesper Lynd, fullName, Vesper Lynd]
  • A. Vesper Lynd chosen
    Vesper Lynd is a pivotal James Bond character, best known as the complex and tragic love interest in "Casino Royale" whose actions profoundly shape Bond’s emotional life and future.
  • B. Valentina Raine Humes
    Valentina Raine Humes is the daughter of British singer and television presenter Rochelle Humes and her husband, JLS member Marvin Humes.
  • C. 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.
  • D. Iris Devereaux
    Iris Devereaux is a central character in the 1975 neo-noir mystery film "The Drowning Pool," around whom much of the film’s intrigue and suspense revolves.
  • E. Claire Bowern
    Claire Bowern is a linguist known for her influential work on Australian and Tasmanian Indigenous languages, historical linguistics, and language documentation.
  • 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49d7948888190b59ddc7061d13e84 completed April 19, 2026, 9:16 a.m.
Created at: April 10, 2026, 10:18 a.m.