Triple

T22172241
Position Surface form Disambiguated ID Type / Status
Subject The June Allyson Show E547950 entity
Predicate featuredGuestStars P45889 FINISHED
Object Louis Jourdan 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: Louis Jourdan | Statement: [The June Allyson Show, featuredGuestStars, Louis Jourdan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louis Jourdan
Context triple: [The June Allyson Show, featuredGuestStars, Louis Jourdan]
  • A. Louis Jourdan chosen
    Louis Jourdan was a French film and television actor best known for his suave, sophisticated roles in Hollywood productions such as "Gigi" and "Octopussy."
  • B. Claude Brasseur
    Claude Brasseur was a prominent French actor known for his versatile performances in film, television, and theater, and as part of a celebrated family of French performers.
  • C. Joseph Noiret
    Joseph Noiret was a Belgian poet, painter, and art critic best known as a founding figure of the postwar avant-garde COBRA movement.
  • D. Michel Galabru
    Michel Galabru was a prolific French actor and comedian known for his numerous roles in film, television, and theater, often portraying gruff yet humorous characters.
  • E. Laurent Dailland
    Laurent Dailland is a French cinematographer known for his work on numerous feature films, including the drama "Il y a longtemps que je t’aime."
  • 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_69e11e3d53f88190a2b690e3f25bb062 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a69c12c8190a03177b5b740456a completed April 28, 2026, 9:45 p.m.
Created at: April 16, 2026, 8:34 p.m.