Triple

T6753119
Position Surface form Disambiguated ID Type / Status
Subject Adrien Maurice de Noailles E154386 entity
Predicate familyName P18 FINISHED
Object de Noailles E363447 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: de Noailles | Statement: [Adrien Maurice de Noailles, familyName, de Noailles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: de Noailles
Context triple: [Adrien Maurice de Noailles, familyName, de Noailles]
  • A. de Noailles chosen
    De Noailles is the name of a prominent French noble family historically influential in politics, the military, and high society.
  • B. Charles de Noailles
    Charles de Noailles was a French aristocrat and influential patron of the arts and avant-garde cinema in the early 20th century.
  • C. Louis de Noailles
    Louis de Noailles was an 18th-century French nobleman and marshal who held high military commands during the War of the Austrian Succession.
  • D. Comtesse de Noailles
    Comtesse de Noailles is a French noblewoman and strict lady-in-waiting who oversees court etiquette in the film "Marie Antoinette" (2006).
  • E. Auguste de Montferrand
    Auguste de Montferrand was a 19th-century French-born architect best known for designing monumental neoclassical buildings in Russia, most notably in Saint Petersburg.
  • 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_69c6880fd5808190be684854081e27dd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1f32fa08190bb23dc24fef14c8d completed March 27, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b1c4594819084716e21b16191e3 completed March 27, 2026, 10:56 p.m.
Created at: March 27, 2026, 2:11 p.m.