Triple

T14032518
Position Surface form Disambiguated ID Type / Status
Subject Groupe Industriel Marcel Dassault E337626 entity
Predicate namedAfter P63 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: [Groupe Industriel Marcel Dassault, namedAfter, Marcel Dassault]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marcel Dassault
Context triple: [Groupe Industriel Marcel Dassault, namedAfter, Marcel Dassault]
  • A. Marcel Dassault chosen
    Marcel Dassault was a prominent French aircraft industrialist, engineer, and politician who founded the Dassault aviation empire.
  • B. Serge Dassault
    Serge Dassault was a French industrialist, politician, and billionaire who led the Dassault aviation and media empire.
  • C. François Delarozière
    François Delarozière is a French artist and designer renowned for his monumental mechanical sculptures and fantastical urban installations.
  • D. 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.
  • E. François Hanriot
    François Hanriot was a radical French revolutionary leader and commander of the National Guard in Paris during the Reign of Terror.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2fab17008190981f1808726fa11c completed April 14, 2026, 12:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7d863ac819085bf5cd76cb2e8dd completed May 7, 2026, 8:36 p.m.
Created at: April 9, 2026, 10:20 p.m.