Triple

T11317072
Position Surface form Disambiguated ID Type / Status
Subject GoldenEye E267993 entity
Predicate character P662 FINISHED
Object Xenia Onatopp E490622 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: Xenia Onatopp | Statement: [GoldenEye, character, Xenia Onatopp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xenia Onatopp
Context triple: [GoldenEye, character, Xenia Onatopp]
  • A. Xenia Onatopp chosen
    Xenia Onatopp is a sadistic and lethal assassin from the James Bond film "GoldenEye," notorious for killing her victims with her powerful thighs.
  • B. Xenia
    Xenia is a female given name of Greek origin, commonly used in Slavic and other European cultures.
  • C. Xenia
    Xenia is a collection of epigrammatic poems co-written by Johann Wolfgang von Goethe and Friedrich Schiller that satirically targeted their literary opponents during the Weimar Classicism period.
  • D. Xenia Seeberg
    Xenia Seeberg is a German actress and singer best known for her role as Xev Bellringer in the science fiction television series "Lexx."
  • E. Xandra
    Xandra is a shortened, informal given name derived from Alexandra, often used as a modern, distinctive feminine name.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9c3cf748190987838029d9f7fff completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e525d3160c8190b58c5c04a66b3e3e completed April 19, 2026, 6:58 p.m.
Created at: April 8, 2026, 9:32 p.m.