Triple

T8718505
Position Surface form Disambiguated ID Type / Status
Subject Pont Marie E206953 entity
Predicate architect P184 FINISHED
Object Christophe Marie E762828 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: Christophe Marie | Statement: [Pont Marie, architect, Christophe Marie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christophe Marie
Context triple: [Pont Marie, architect, Christophe Marie]
  • A. Christophe Marie chosen
    Christophe Marie was a 17th-century French engineer and entrepreneur best known for designing and overseeing the construction of the Pont Marie bridge in Paris.
  • B. Jean-Charles
    Jean-Charles is the given name of Jean-Charles Adolphe Alphand, a prominent 19th-century French engineer and landscape architect known for designing many of Paris’s parks and boulevards.
  • C. François-Paul
    François-Paul is the given name of François-Paul Brueys d’Aigalliers, a French naval officer and admiral who served during the French Revolutionary Wars.
  • D. Jean-Philippe
    Jean-Philippe is a French masculine given name most famously borne by the Baroque composer Jean-Philippe Rameau.
  • E. Jean Louis
    Jean Louis was a renowned French-born American costume designer celebrated for his glamorous Hollywood film and television wardrobe creations.
  • 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_69ca83572d4881909bef3be2b578d539 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d014e208190a4c6055901580d0c completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfab417d4481908cc6305ec2752078 completed April 3, 2026, 11:57 a.m.
Created at: March 30, 2026, 6:36 p.m.