Triple

T5933947
Position Surface form Disambiguated ID Type / Status
Subject Dassault Systèmes E131999 entity
Predicate foundedBy P104 FINISHED
Object Marcel Dassault E75666 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 Dassault | Statement: [Dassault Systèmes, foundedBy, Marcel Dassault]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marcel Dassault
Context triple: [Dassault Systèmes, foundedBy, Marcel Dassault]
  • A. Marcel Dassault chosen
    Marcel Dassault was a prominent French aircraft industrialist, engineer, and politician who founded the Dassault aviation empire.
  • B. François Delarozière
    François Delarozière is a French artist and designer renowned for his monumental mechanical sculptures and fantastical urban installations.
  • C. Claude Dornier
    Claude Dornier was a pioneering German aircraft designer and industrialist best known for creating innovative flying boats and military aircraft in the early and mid-20th century.
  • D. François Hanriot
    François Hanriot was a radical French revolutionary leader and commander of the National Guard in Paris during the Reign of Terror.
  • E. Armand Peugeot
    Armand Peugeot was a French industrialist and pioneer of the automobile industry who transformed his family’s metalworking business into the Peugeot car manufacturing company.
  • 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_69c0085c55dc8190aa90e242c956e2fa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0389f6fc881909527b928838ffcdd completed March 22, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c069e450819096b268637ffcd219 completed March 23, 2026, 4:24 a.m.
Created at: March 22, 2026, 4 p.m.