Triple

T22981286
Position Surface form Disambiguated ID Type / Status
Subject O. E. Hasse E571470 entity
Predicate notableWork P4 FINISHED
Object Lola Montès 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: Lola Montès | Statement: [O. E. Hasse, notableWork, Lola Montès]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lola Montès
Context triple: [O. E. Hasse, notableWork, Lola Montès]
  • A. Lucia DeLury
    Lucia DeLury is a supporting character in the dark comedy film "The Opposite of Sex," involved in the tangled romantic and personal conflicts that drive the story.
  • B. Lola Montez chosen
    Lola Montez was a 19th-century Irish-born dancer, courtesan, and political figure whose scandalous influence over King Ludwig I of Bavaria helped spark public unrest and contributed to his abdication.
  • C. Gisèle
    Gisèle is a feminine given name of French origin, commonly used in Francophone countries and beyond.
  • D. Renée Adorée
    Renée Adorée was a French-born silent film actress best known for her acclaimed role in the World War I drama "The Big Parade" (1925).
  • E. Malena
    Malena is a feminine given name, commonly used in various cultures and often considered a diminutive or variant of names like Magdalena.
  • 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_69e245b3c50481908bb3741ec9f40862 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1829589548190863619aebcae026c completed April 29, 2026, 4:01 a.m.
Created at: April 17, 2026, 3:49 p.m.