Triple

T7901505
Position Surface form Disambiguated ID Type / Status
Subject Caesar and Cleopatra E183462 entity
Predicate costumeDesignBy P184 FINISHED
Object Marcel Vertès E700475 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: Marcel Vertès | Statement: [Caesar and Cleopatra, costumeDesignBy, Marcel Vertès]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marcel Vertès
Context triple: [Caesar and Cleopatra, costumeDesignBy, Marcel Vertès]
  • A. Marcel Vertès chosen
    Marcel Vertès was a Hungarian-born French illustrator and costume designer best known for his Academy Award-winning film costume work and stylish theatrical designs in the mid-20th century.
  • B. Vincent Delerm
    Vincent Delerm is a French singer-songwriter and pianist known for his literate, introspective chansons and theatrical pop arrangements.
  • C. Marcel Tetu
    Marcel Tetu was a French military officer known for his leadership role in the Free French forces during World War II, particularly in the African campaigns.
  • D. Jacques de Wert
    Jacques de Wert was a prominent 16th-century Franco-Flemish composer known for his expressive Italian madrigals that influenced later Renaissance and early Baroque music.
  • E. Felix Bressart
    Felix Bressart was a German-American character actor known for his warm, comedic supporting roles in classic Hollywood films of the 1930s and 1940s.
  • 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_69ca828d13088190b222be7aa9f9315c completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a3f4c2c81909ae70b0acf4729be completed March 31, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdfd2dbbc8190b7b1e45b7f0b7515 completed March 31, 2026, 2:53 p.m.
Created at: March 30, 2026, 5:02 p.m.