Triple

T19624410
Position Surface form Disambiguated ID Type / Status
Subject Marie Mahieu E471095 entity
Predicate familyName P18 FINISHED
Object Mahieu NE NERFINISHED

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: Mahieu | Statement: [Marie Mahieu, familyName, Mahieu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mahieu
Context triple: [Marie Mahieu, familyName, Mahieu]
  • A. Mahieu chosen
    Mahieu is a surname of likely French or Belgian origin borne by individuals such as Hester Mahieu.
  • B. Juprelle
    Juprelle is a municipality in the province of Liège in Wallonia, Belgium, known for its rural character and proximity to the city of Liège.
  • C. Tanguy
    Tanguy is a French surname most notably associated with Yves Tanguy, a prominent 20th-century Surrealist painter.
  • D. Yvan
    Yvan is a masculine given name of French origin, borne by several notable figures including French-Israeli actor and director Yvan Attal.
  • E. Maurin
    Maurin is a French surname most notably associated with Peter Maurin, the co-founder of the Catholic Worker Movement.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640e92ff48190ae6e6ba2c603d5e7 completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:44 p.m.