Triple

T5055269
Position Surface form Disambiguated ID Type / Status
Subject Ursula Andress E113885 entity
Predicate portrayedCharacter P1668 FINISHED
Object Honey Ryder E103375 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: Honey Ryder | Statement: [Ursula Andress, portrayedCharacter, Honey Ryder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Honey Ryder
Context triple: [Ursula Andress, portrayedCharacter, Honey Ryder]
  • A. Honey Ryder chosen
    Honey Ryder is a fictional Bond girl and shell diver who becomes James Bond’s ally and love interest in the 1962 film "Dr. No."
  • B. Sally Blane
    Sally Blane was an American film actress of the early 20th century who appeared in numerous silent and sound films, often in supporting roles.
  • C. Rachel Dawes
    Rachel Dawes is a fictional Gotham City assistant district attorney and Bruce Wayne’s childhood friend and love interest in Christopher Nolan’s Batman film trilogy.
  • D. Brigitte
    Brigitte is a French former teacher best known as the wife of Emmanuel Macron, the President of France.
  • E. Sydney Bristow
    Sydney Bristow is the fictional double agent protagonist of the television series "Alias," known for her espionage work, complex personal life, and high-stakes undercover missions.
  • 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_69bd443aa1f88190abb992d138f2cf42 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd744ccb888190a8a0ddd7c4d62f35 completed March 20, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea489eb4c8190ad3a5480b909ef70 completed March 21, 2026, 2 p.m.
Created at: March 20, 2026, 1:38 p.m.