Triple

T12425788
Position Surface form Disambiguated ID Type / Status
Subject Giselle Itié E296894 entity
Predicate name P16 FINISHED
Object Giselle Itié E296894 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: Giselle Itié | Statement: [Giselle Itié, name, Giselle Itié]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Giselle Itié
Context triple: [Giselle Itié, name, Giselle Itié]
  • A. Giselle Itié chosen
    Giselle Itié is a Brazilian-Mexican actress known for her work in Brazilian television and film as well as roles in international action movies.
  • B. Josette Vieau
    Josette Vieau was the wife of Milwaukee founder Solomon Juneau and a prominent early settler connected to the region’s fur trade and Métis community.
  • C. Mireille Soria
    Mireille Soria is a film producer best known for her work on major animated features at DreamWorks Animation.
  • D. Élise Dosne
    Élise Dosne was a 19th-century French woman best known as the wife and close political confidante of statesman and historian Adolphe Thiers, the first President of the French Third Republic.
  • E. Doriane Bécue
    Doriane Bécue is a French politician who serves as the mayor of the city of Tourcoing in northern France.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d7ccda08190be2ff1739c1c6855 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c0d6947c819080d33199d331724c completed May 3, 2026, 3:28 a.m.
Created at: April 8, 2026, 9:55 p.m.