Triple

T7381599
Position Surface form Disambiguated ID Type / Status
Subject Louis de Noailles E170266 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: [Louis de Noailles, familyName, de Noailles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: de Noailles
Context triple: [Louis 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. Anne Jules de Noailles
    Anne Jules de Noailles was a prominent French nobleman and military commander who served as a marshal of France under Louis XIV.
  • E. 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).
  • 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_69c68a5d0ed08190b6d361e68f813330 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1c7b5bc81908afa2bf39159979b completed March 27, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802db77988190aacc4e2f9cbb0bb3 completed March 28, 2026, 4:33 p.m.
Created at: March 27, 2026, 3:08 p.m.