Triple

T23171939
Position Surface form Disambiguated ID Type / Status
Subject La Chevelure E578881 entity
Predicate relatedWorkByAuthor P922 FINISHED
Object Les Bijoux 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: Les Bijoux | Statement: [La Chevelure, relatedWorkByAuthor, Les Bijoux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Les Bijoux
Context triple: [La Chevelure, relatedWorkByAuthor, Les Bijoux]
  • A. Les Bijoux chosen
    "Les Bijoux" is a sensual and provocative poem by Charles Baudelaire, included in his influential collection *Les Fleurs du mal*.
  • B. Bijou Blanche
    Bijou Blanche is the charismatic nightclub singer and central female protagonist portrayed by Marlene Dietrich in the 1940 romantic drama film "Seven Sinners."
  • C. Le Diamant
    Le Diamant is a coastal commune in Martinique, France, known for its scenic beaches and views of the iconic Diamond Rock offshore.
  • D. Le Diamant
    Le Diamant is an animated film by French director and animator Paul Grimault, known for his poetic visual style and influence on European animation.
  • E. The Jewel
    The Jewel is a residential and commercial area in the eastern part of Edinburgh, Scotland.
  • 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_69e245fd2a388190b814c0dfa15f7148 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f30ce148190a6de928c8213399e completed April 29, 2026, 4:55 a.m.
Created at: April 17, 2026, 4:04 p.m.