Triple

T3575060
Position Surface form Disambiguated ID Type / Status
Subject Marcel Dassault E75666 entity
Predicate name P16 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: [Marcel Dassault, name, Marcel Dassault]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marcel Dassault
Context triple: [Marcel Dassault, name, Marcel Dassault]
  • A. Marcel Dassault chosen
    Marcel Dassault was a prominent French aircraft industrialist, engineer, and politician who founded the Dassault aviation empire.
  • B. 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.
  • C. 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.
  • D. Charles Laisné
    Charles Laisné was a French architect known for his involvement in the design of Paris’s Sacré-Cœur Basilica.
  • E. André Citroën
    André Citroën was a pioneering French industrialist and engineer best known for founding the Citroën automobile company and revolutionizing mass car production in Europe.
  • 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_69ad85d5e3008190bdfe0bacdd1f5a1b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0da77008190922f414b85b9cad4 completed March 8, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bbc077048190917260402e2ccf66 completed March 13, 2026, 7:24 a.m.
Created at: March 8, 2026, 3:21 p.m.