Triple

T5092239
Position Surface form Disambiguated ID Type / Status
Subject "Comme d'habitude" E114777 entity
Predicate composer P1361 FINISHED
Object Jacques Revaux E689977 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: Jacques Revaux | Statement: ["Comme d'habitude", composer, Jacques Revaux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jacques Revaux
Context triple: ["Comme d'habitude", composer, Jacques Revaux]
  • A. Jacques Revaux chosen
    Jacques Revaux is a French songwriter best known for co-composing the classic chanson "Comme d'habitude," which became internationally famous as "My Way."
  • B. Charles Jonnart
    Charles Jonnart was a French politician and statesman of the Third Republic, known for his ministerial roles and influence in centrist republican politics.
  • C. J. André Fouilhoux
    J. André Fouilhoux was a French-born American architect known for his influential modernist designs in the early 20th century, particularly in New York City.
  • D. Alain Chevalier
    Alain Chevalier was a French businessman best known as a co-founder and early architect of the luxury goods conglomerate LVMH.
  • E. Victor Laloux
    Victor Laloux was a prominent French architect of the late 19th and early 20th centuries, best known for his grand Beaux-Arts railway stations and public buildings in Paris.
  • 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_69bd443e941881908eb4e8c685b6f656 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd754369708190bf4e171a904a19e1 completed March 20, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c91f3e6cec8190ad66e8f4feb6b911 completed March 29, 2026, 12:46 p.m.
Created at: March 20, 2026, 1:40 p.m.