Triple

T6362351
Position Surface form Disambiguated ID Type / Status
Subject Agnes Ayres as Lady Diana Mayo E143140 entity
Predicate romanticInterestPortrayedBy P66000 FINISHED
Object Rudolph Valentino E1975 NE FINISHED

How this triple was built (3 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: Rudolph Valentino | Statement: [Agnes Ayres as Lady Diana Mayo, romanticInterestPortrayedBy, Rudolph Valentino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rudolph Valentino
Context triple: [Agnes Ayres as Lady Diana Mayo, romanticInterestPortrayedBy, Rudolph Valentino]
  • A. Rudolph Valentino chosen
    Rudolph Valentino was a legendary Italian-born silent film actor and sex symbol of the 1920s, famed for roles in films like "The Sheik" and "Blood and Sand."
  • B. Ramon Novarro
    Ramon Novarro was a prominent Mexican-American silent film star and leading man of the 1920s and 1930s, best known for his role in the 1925 epic "Ben-Hur: A Tale of the Christ."
  • C. Ricardo Cortez
    Ricardo Cortez was an American actor of the silent and early sound film era, best known for his leading-man roles in crime dramas and early film noir.
  • D. Vincent Landay
    Vincent Landay is a film producer best known for his long-time collaboration with director Spike Jonze on projects such as "Being John Malkovich," "Adaptation," and numerous acclaimed music videos.
  • E. Lionel Atwill
    Lionel Atwill was an English-American character actor best known for his sinister roles in 1930s and 1940s horror and mystery films.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: romanticInterestPortrayedBy
Context triple: [Agnes Ayres as Lady Diana Mayo, romanticInterestPortrayedBy, Rudolph Valentino]
  • A. hasRomanticTensionWith
    Indicates a mutual or one-sided romantic attraction or unresolved romantic interest existing between two entities.
  • B. romanticPartnerInSpinOff
    Indicates that two characters are depicted as romantic partners specifically within a spin-off work, rather than (or in addition to) the original series.
  • C. loveInterestPortrayedBy chosen
    Indicates that a character’s romantic interest is depicted or played by a particular actor or performer.
  • D. portrayedBySpouseOf
    Indicates that something is portrayed or depicted by the spouse of a given entity.
  • E. portrayedBy
    Indicates that one entity serves as the actor or performer who represents or plays the role of another entity in a work or medium.
  • F. None of above.

Provenance (4 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_69c008d7a9c4819098d647ec47776917 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0680c02b481908618317566e31a5c completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d6d906481908b5883bff18ceec8 completed March 27, 2026, 7:10 a.m.
PD Predicate disambiguation batch_69c060ec091c8190912aac44e1b8b1c9 completed March 22, 2026, 9:36 p.m.
Created at: March 22, 2026, 4:32 p.m.