Triple

T14680577
Position Surface form Disambiguated ID Type / Status
Subject Levie Citroen E344769 entity
Predicate relative P37 FINISHED
Object Andre Citroen E64258 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: Andre Citroen | Statement: [Levie Citroen, relative, Andre Citroen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andre Citroen
Context triple: [Levie Citroen, relative, Andre Citroen]
  • A. André Citroën chosen
    André Citroën was a pioneering French industrialist and engineer best known for founding the Citroën automobile company and revolutionizing mass car production in Europe.
  • B. Fernand Renault
    Fernand Renault was a French industrialist and one of the founding brothers behind the Renault automobile company.
  • C. Louis Renault
    Louis Renault was a pioneering French industrialist and automotive engineer who co-founded the Renault car company and helped shape the early automobile industry.
  • D. 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.
  • E. Levie Citroen
    Levie Citroen was a member of the Citroën family, related to André Citroën, the founder of the French automobile manufacturer Citroën.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb5692284819090f775be8e478522 completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde180ff0c8190a8b7c7804e36c3f8 completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:28 a.m.