Triple

T14268614
Position Surface form Disambiguated ID Type / Status
Subject Katherine O’Flaherty E353716 entity
Predicate spouse P13 FINISHED
Object Oscar Chopin E69633 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: Oscar Chopin | Statement: [Katherine O’Flaherty, spouse, Oscar Chopin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oscar Chopin
Context triple: [Katherine O’Flaherty, spouse, Oscar Chopin]
  • A. Oscar Chopin chosen
    Oscar Chopin was a Louisiana businessman and the husband of American author Kate Chopin, known for supporting her during their years in New Orleans and Cloutierville.
  • B. Marie Grosholtz
    Marie Grosholtz, better known as Marie Tussaud, was a French artist and entrepreneur who founded the famous wax museum Madame Tussauds.
  • C. Judith Gautier
    Judith Gautier was a 19th-century French writer and translator known for her pioneering role in introducing East Asian literature and culture to French audiences.
  • D. Antoine Pater
    Antoine Pater was the father of the French Rococo painter Jean-Baptiste Pater.
  • E. Élie de Beaumont
    Élie de Beaumont was an 18th-century French lawyer and advocate renowned for his influential legal defense in the Calas affair, which became a landmark case for religious tolerance and judicial reform.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de657fe6708190b41de48c43cff647 completed April 14, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd32682a0481908918570a778e185a completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:10 a.m.